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Actitudes Lingüísticas y Percepción de Amenaza Lingüística: Perspectivas sobre su Impacto en la Sensibilidad Intercultural en el Contexto Catalán

 

Language Attitudes and Language Perceived Threat: Insights into Their Impact on Intercultural Sensitivity in the Catalan Cont= ext

 

 

Angélica Jardim

Universitat de Lleida 

ajb7@alumnes.= udl.cat

 

Fernando Senar

Universitat de Lleida

fernando.sena= r@udl.cat

 

Beatriz Magalhaes-Teixeira

Universitat de Lleida  <= /i>

bmt4@alumnes.udl.cat

 

Anna Amad&oac= ute;

Universitat de Lleida  <= /i>

anna.amado@udl.cat

<= o:p> 

<= o:p> 

R= ESUMEN

Cataluña, un territorio bilingüe, se encuentra ante el reto de equilibrar la promoción = de su lengua regional con la integración de una población cultur= almente diversa. La siguiente investigación presenta un análisis cuantitativo sobre la relación entre las actitudes lingüísticas hacia el catalán y castellano, la amenaza lingüística percibida de ambas lenguas y la sensibilidad intercultural de los residentes en Cataluña. A partir de una muestra= de 393 participantes residentes en Cataluña se realizó un análisis Path atendiendo a efectos direc= tos e indirectos. Los resultados muestran que el hecho de promover actitudes positivas hacia el catalán no perjudica directamente la sensibilidad intercultural; sin embargo, el efecto mediador de la amenaza lingüística percibida puede reducir la apertura a la diversidad cultural. En consecuencia, las políticas lingüísticas de= ben tratar de equilibrar la promoción de las lenguas regionales y la integración de la diversidad cultural para fomentar la cohesió= ;n social en Cataluña.

 

Palabras clave: Sensibilidad intercultural, Actitudes lingüísticas, Amenaza lingüística percibida, Territorio bilingüe, Análisi= s Path

 

 

ABSTRACT

Catalonia, a bilingual territory, faces the challenge of balancing t= he promotion of its regional language with the integration of a culturally div= erse population. The following research presents a quantitative analysis of the relationship between linguistic attitudes towards Catalan and Spanish, the perceived linguistic threat of both languages and the intercultural sensiti= vity of Catalan residents. Based on a sample of 393 participants living in Catalonia, a Path analysis was performed, taking into a= ccount direct and indirect effects. The results show that promoting positive attit= udes towards Catalan does not directly harm intercultural sensitivity; however, = the mediating effect of perceived linguistic threat may reduce openness to cult= ural diversity. Language policies should therefore seek to balance the promotion= of regional languages and the integration of cultural diversity in order to foster social cohesion in Catalonia.<= /p>

Keywords: Intercultural Sensitivity, Linguistic Attitudes, Perceived Linguistic Threat, Bilingual Territory, Path Analysis=

 

 

1.   INTRODUCCIÓN

La situación social en Cataluña ha sido objeto de numerosos estudios debido a su creciente complejidad cultural y lingüística. En respuesta a esta complejidad, la Secretaría de Política Lingüístic= a ha implementado diversas iniciativas, entre las que destaca el Pla per a la Llengua i la Cohesió Social, con el objetivo de fomentar el uso del catalán y promover actitudes positivas hacia esta lengua (Generalitat de Catalunya, 2004). Est= as políticas no solo buscan fomentar una actitud positiva hacia el catalán y su uso, sino también proteger y preservar la identi= dad cultural y lingüística catalana en un contexto globalizado (Jeram y Nicolaides, 2019)= .

Sin embargo, diversos estudios sugier= en que el hecho de fomentar actitudes lingüísticas positivas hacia= una lengua concreta, especialmente cuando está estrechamente relacionada= con la identidad cultural, puede tener un impacto negativo en la sensibilidad intercultural (Falcón Ccenta y Mamani Qu= ispe, 2017). En el caso de Cataluña, donde la lengua se formula como un potente elemento identitario, el hecho de promover actitudes positivas haci= a el catalán podría disminuir la apertura hacia otras culturas y l= enguas (Medeiros et al., 2017; Jeram y Nicolaides, 2019). Esto es especialmente relevante dado su alto índice de población inmigrante, donde la diversidad cultural y lingüística es una realidad cotidiana.

En consecuencia, el presente estudio pretende analizar cómo las actitudes lingüísticas hacia = el catalán y el castellano, así como la amenaza lingüística percibida sobre estas lenguas, influyen en la sensibilidad intercultural de los residentes en Cataluña. Para ello,= se ha realizado un análisis Path con tal de analizar los efectos directos, indirectos y totales de la relación de estos constructos.  

 

 

 

 

2.   MARCO TEÓRICO

 

2.1 Sensibilidad hacia la diversidad cultural

 

La sensibilidad intercultural se defi= ne como un deseo y tendencia que motiva a comportarse de manera efectiva y apr= opiada en los procesos de interacción social interculturales (Chen, 1997). Basándonos en el Modelo de Desarrollo de la Sensibilidad Intercultur= al (DMIS; Bennett, 1993; Bennett y Hammer, 2017) el criterio para juzgar si las personas eran más competentes interculturalmente era si podían “coordinar el significadoR= 21; a través de contextos culturales con algo que se aproximara a la facilidad que tenían en su(s) contexto(s) nativo(s). En este sentido= , la competencia comunicativa, tal como la define el DMIS, sigue el ejemplo de la competencia lingüística: la capacidad de comprender y generar expresiones apropiadas en contexto (Figura 1).

 

3D"Diagrama

Descripción

 

Figura 1. Modelo de Desarrollo de la Sensibilidad Intercultural (DMIS= ). Adaptado de Bennett (2017)

 

Según este modelo, el desarrol= lo de la sensibilidad intercultural aparece en dos etapas. La primera etapa es= la llamada Etapa Etnocéntrica, una etapa relacionada con una mayor actitud lingüística desfavorable, la cual está compuesta por tres sub fases: Negación, donde se niegan l= as diferencias culturales y se tiende a considerar que la propia cultura es superior; defensa, donde se emp= ieza a defender y exaltar la propia cultura como la única válida o superior a las demás, además de culpar a las diferencias cult= urales de los males generales de la sociedad; y minimización, caracterizada por la disminución de la percepción de las diferencias culturales que se han definido en la sub fase anterior, en favo= r de las similitudes más importantes entre uno mismo y los demás. =

La segunda etapa, denominada Etapa Etnorelativ= a, es aquella relacionada con una mayor actitud lingüística favora= ble, compuesta también por tres sub fases: aceptación, en la que las personas toman conciencia de sí mismas y de los demás en contextos culturales que son iguales en complejidad, pero diferentes en for= ma; adaptación, en la que se mu= estra cómo, una vez resuelta la cuestión ética, permite pasa= r al mecanismo de toma de perspectiva; e integración, donde se logra una síntesis armoniosa entre las diferentes culturas, integrando sus valores, creencias y prácticas de manera coherente. <= o:p>

En este sentido, los trabajos de Benn= ett (1993, 1997, 2004) ilustran esta dinámica, sugiriendo que el individ= uo etnocéntrico asume que "la visión del mundo desde la pro= pia cultura es central para toda la realidad" (Bennett, 2004, p. 30), mien= tras que el individuo etnorelativo "está cómodo con muchos estándares y costumbres y tiene una capacid= ad para adaptar el comportamiento y los juicios a una variedad de contextos interpersonales" (Bennett, 2004, p. 26).

Tal y como se propone en el DMIS, el desarrollo de la sensibilidad intercultural implica la capacidad de aprecia= r y valorar las diferencias culturales e interactuar de manera adecuada con individuos culturalmente diversos. Este proceso está vinculado a factores como la convivencia social y las creencias y actitudes hacia miemb= ros de otros grupos culturales (Dovidio et al., 201= 7), así como la edad (Moradi y Ghabanchi, 2019; Habib y Hernández, 2020) y la educación intercultural (Berry, 2006; Pettigrew y = Tropp, 2008). Bennett (2004) propone un ajuste típico entre los niveles de competencia lingüística y los niveles de desarrollo de la sensibilidad intercultural (p. 255). Eso significa que aquellas personas que tienen un nivel avanzado de competencia en la lengua, probablemente estén en una etapa del desarrollo cultural más = etnorelativo. A su vez, aquellos que son menos compet= entes probablemente estén en una de las etapas etnocéntricas. Por su parte, el estudio de Chen y Starosta (2000) indicó que los individuos con alta sensibilidad intercultural tiende= n a ser más atentos, más capaces de percibir las relaciones socio-interpersonales para ajustar sus comportamientos, mostrar una alta autoestima y autocontrol, más empáticos y más eficaces en la interacción intercultural. Asimismo, diferentes estudios (véase, por ejemplo, Villalba y Ruiz, 2021) han sugerido la existencia de una relación entre la sensibilidad intercultural y el hecho de conocer más de una lengua y vivir en territorios bilingües.

En apoyo a estas tesis, diferentes estudios, como el propuesto por Chen et al. (2017) muestra, a través= de un estudio longitudinal, como el hecho de vivir en un territorio biling&uum= l;e contribuye a una mayor adaptabilidad cultural y sensibilidad lingü&iac= ute;stica. Esto se debe a la exposición de los individuos desde temprana edad a diferentes lenguas y culturas. Por otro lado, Engle y Engle (2004) realizaron un estudio con estudian= tes en el extranjero que aprenden una segunda lengua, donde los resultados muestran que aquellos que han elegido estudiar en el extranjero presentan puntuacion= es más elevadas en cuanto a su apertura y sensibilidad intercultural. P= or último, los resultados del estudio de Chen y Hu= (2023) mostraron que los estudiantes universitarios en Macao, un territorio multicultural, tenían un nivel de sensibilidad intercultural elevado. Esto se atribuyó al contacto constante con diversas culturas y lengu= as, y a su vez, a tener muchas oportunidades para tener contacto de comunicación intercultural directo e indirecto.

 

 

2.2. Actitudes lingüísticas

 =

El estudio de las actitudes lingüísticas propone a las lenguas como elementos hacia los cua= les desarrollar una actitud. Es decir, las personas tienden a evaluar las lengu= as con las que están en contacto como favorables o desfavorables (Baker, 1992), así como a realizar acciones positivas o negativas hacia las mismas de acuerdo con el resultado de estas evaluaciones (Sarnoff, 1970).

En este sentido, Baker (1992) sugiere= que las actitudes lingüísticas se componen de tres elementos interconectados: un elemento cognitivo, que consiste en un conjunto = de conceptos o conocimientos y creencias que otorgan una racionalidad aparente= ; un elemento afectivo, que hace referencia al conjunto de vivencias, emociones, sentimientos y preferencias asociados a una lengua y que condici= ona su aprendizaje y su uso; y un elemento conduct= ual, asociado a las manifestaciones comportamentales y declaraciones de intencio= nes hacia una lengua y su uso. Por ello, las actitudes resultan un elemento modulador del aprendizaje y uso de una lengua.

Además, estas actitudes no se desarrollan de forma aislada, sino que están profundamente vinculada= s a procesos sociales y a la manera en que las personas construyen su identidad. Los trabajos de Tajfel (1978, 1982, 2010) afirman que la identidad social de las personas está basada en procesos de categorización social, comparaciones y favoritismos. Es decir, las personas realizan clasificacion= es, y una vez realizadas, hacen comparaciones sociales entre los grupos de individuos. El resultado de dichas comparaciones será, por tanto, un factor determinante en el desarrollo de actitudes hacia las lenguas asociad= as a colectivos concretos, que serán positivas o negativas dependiendo de= los resultados de dichas comparaciones. En este aspecto, Huguet y González-Riaño (2004) definen tres aspectos a través de los cuales se configuran las actitudes lingüísticas en territor= ios multilingües: las necesidades personales, es decir, aquellas relacionadas con las ventajas percibidas de aprender una lengua para su uso instrumental; el grupo social, relacionado con las influencias que provoca el grupo social de referencia y la necesidad de aprobación social del hablante; y el acceso a cada una de las lenguas, en referencia al grado de presencia y accesibilidad de la lengua objetivo en el territorio de acogida.

En consonancia con estos trabajos, diferentes estudios sugieren que las actitudes lingüísticas pue= den verse influenciadas por el efecto modulador de la amenaza lingüística percibida. El estudio de Medeiros (2017) mostr&oacu= te; como las creencias que uno tiene y las percepciones que realizamos, una de ellas la percepción de amenaza lingüística, son las que determinan el apego cultural, el cual está estrechamente relacionado= con la lengua y con sus actitudes asociadas. En este sentido, Medeiros (2019) mostró como este efecto resulta particularmente intenso en territori= os bilingües como Quebec, argumentando que cuanto más seguros se sentían sus habitantes francoparlantes respecto a su lengua, m&aacut= e;s positivas eran sus actitudes hacia la mayoría canadiense. Por su par= te, el estudio de Medeiros et al. (2017) destaca el potencial determinante de la amenaza lingüística percibida entre los franco-quebequenses en = sus actitudes hacia los anglófonos.

 

 

 

2.3. Diversidad lingüística en el contexto catalán: Políticas lingüísticas y relación con la sensibil= idad intercultural

 

El presente estudio se centra en Cataluña, un territorio bilingüe donde conviven dos lenguas oficiales: el catalán y el castellano. Los procesos actitudinales y lingüísticos de los residentes en Cataluña ocurren en un marco particularmente complejo, debido principalmente a dos factores. En pr= imer lugar, Cataluña se ha formulado tradicionalmente como una naci&oacut= e;n subestatal con elementos identitarios y culturales propios, incluyendo la lengua. No obstante, en los últimos años la tensión en= tre la sociedad catalana y el Estado español ha llevado a un incremento = en el apoyo a una Cataluña independiente (Generalitat de Catalunya. Cen= tre d’Estudis d’Opini&oa= cute;, 2022), lo que ha favorecido una mayor implicación por parte de sus ciudadanos en la preservación de su identidad, cultura y lengua (Woolard, 2016). Por ello, una parte importante de la población entiende la identidad catalana como incompatible con la identidad española (y viceversa). En segundo lugar, la poblaci&oacut= e;n inmigrante ha experimentado un aumento significativo en los últimos años, pasando del 2,9% en el año 2000 al 16,2% en el añ= ;o 2020 (IDESCAT, 2022). Como resultado, Cataluña se ha vuelto particularmente diversa en términos culturales, lingüíst= icos y religiosos.

La concurrencia simultánea de estos dos factores ha presentado un reto para la legislación catalan= a, que ha tenido que buscar un equilibrio entre preservar su identidad cultura= l y lingüística e integrar la diversidad que supone la llegada masi= va de población inmigrante (Wisthaler, 2016= ). En consecuencia, el gobierno catalán ha reformulado algunas de sus políticas de integración a través del Pla per a la= Llengua i la Cohesi&oacu= te; Social (2004) y sus diferentes revisiones recogidas en el Model Linguistic del Sistema Educatiu<= /span> de Catalunya (Genera= litat de Catalunya, 2007; 2009; 2018). Este marco legislativo pretende ofrecer un enfoque intercultural en el que se reconoce la diversidad identitaria de sus miembros, pero también se fomenta la cohesión social y la integración (Carbonell, 2019; Franco-Guillén, 2019). Es importante destacar que en este marco = la promoción de la lengua catalana ocupa un lugar central en estas nuev= as estrategias de integración, lo que puede, en ocasiones, provocar rec= hazo hacia otras culturas y lenguas, especialmente si se aplican o se interpreta= n de una forma politizada (Jeram y Nicolaides, 2019).

Estudios como el de Lapresta-Rey et al. (2017) o Ianos et al. (2015) muestran cómo las políticas lingüísticas, junto con difere= ntes eventos psicosociales ocurridos en los últimos años, est&aacu= te;n cumpliendo su cometido de fomentar las actitudes lingüísticas h= acia la lengua catalana. Sin embargo, estudios recientes como el de Sáenz-Hernández et al. (2023) y Verd&iac= ute;a Varela et al. (2020) también muestran cómo, en general, la sociedad catalana adopta preferencias de aculturación de tipo asimilacionista, es decir, que espera que los colectivos inmigrantes racializados asimilen las normas culturales y lingüísticas del territorio catalán. Estas posiciones asimilacionistas resultan generalmente en sesgos atributivos negativos como la falta de respeto hacia= la lengua del territorio de acogida o de esfuerzo hacia su aprendizaje, lo que= en lo relativo a la sensibilidad intercultural sugiere posiciones etnocéntricas (Flubacher, 2016; Verdía Varela et al., 2020).=

 

 

 

3.   EL PRESENTE EST= UDIO

<= o:p> 

Como se menciona en = los apartados anteriores, numerosos estudios sugieren que la condición bilingüe resulta un agente facilitador en el desarrollo de la sensibil= idad intercultural. Sin embargo, en el caso de las personas que nacen y se desarrollan en contextos bilingües como el catalán, donde las lenguas juegan un rol de expresión identitaria, la propuesta legisla= tiva de impulsar las actitudes hacia las lenguas oficiales del territorio, así como el sentimiento de amenaza hacia las mismas podrían t= ener un efecto contrario. En consecuencia, el presente estudio pretende conocer cómo actitudes hacia las lenguas oficiales del territorio catalán, así como la amenaza percibida hacia estas, pueden influenciar la sensibilidad intercultural de los ciudadanos catalanes. De u= na forma más concreta, las preguntas de investigación que gu&iac= ute;an este estudio son las siguientes:

 

PI 1: ¿Cómo influyen las actitudes lingüíst= icas hacia catalán y castellano sobre su sensibilidad intercultural?=

PI 2: ¿Cómo influyen la amenaza lingüística percibida hacia el catalán y el castellano sobre su sensibilidad intercultural?

PI 3: ¿Tiene la percepción de amenaza lingüística capacidad de mediar en la relación entre las actitudes lingüísticas hacia las diferentes lenguas y la sensibilidad intercultural?

Atendiendo a la literatura expuesta en los párrafos anteriores= , se han formulado las siguientes hipótesis:

H1: Las actitudes lingüísticas hacia catalán y castellano ejercen un efecto positivo y significativo sobre la sensibilidad intercultural.

H2: La amenaza lingüística percibida hacia catalán= y castellano ejerce un efecto negativo y significativo sobre la sensibilidad intercultural

H3: La amenaza lingüística percibida hacia catalán= y castellano ejercerá un efecto mediador atenuante de las actitudes lingüísticas. Este efecto mediador será más inten= so cuando ocurra hacia su lengua asociada.

 

 

4.   METODOLOG&Iacut= e;A

 

4.1. Participantes

 

El presente est= udio se basó en una muestra constituida por 393 participantes (288 mujere= s, 103 hombres, 2 no binarios; Edad Media =3D 27.27, DE =3D 12.50). De estos, = el 83% nacieron en Cataluña, el 7.9% nacieron en otra comunidad autó= noma española y el 9.2% nacieron en otro país. Todos los participa= ntes se encontraban residiendo en Cataluña en el momento del estudio, habiendo residido allí durante al menos un año.

 

 

4.2. Instrumentos

 

4.2.1. Sensibil= idad intercultural

 

La evaluaci&oac= ute;n de la sensibilidad intercultural se llevó a cabo mediante el instrum= ento Multicultural Ideology Scale (MCI; Berry et al., 1977). La primera versión de = este instrumento se desarrolló de acuerdo con el marco teórico de aculturación propuesto por Berry (1974, 1980). En su versión actual, el cuestionario cuenta con 10 ítems (5 formulados en positiv= o y 5 en negativo) formulado a modo de escala Likert de 5 puntos que operan en = un solo factor. Esta versión ha sido adaptada a diferentes contextos, m= ostrando una fiabilidad y consistencia interna adecuada para todos ellos (α Cronbach =3D .67 a .90). En el presente estudio se utilizó una versión del instrumento adaptada al contexto catalán que arrojó valores de fiabilidad y consistencia interna aceptables (^= 5; =3D .76, ω =3D .78, AVE =3D .54) (véase anexo 1)<= /p>

.

4.2.2. Actitudes lingüísticas <= /o:p>

 

La evaluaci&oac= ute;n de las actitudes lingüísticas se llevó a cabo a través de un instrumento basado en Baker (1992= ) y adaptado al contexto catalán. El instrumento consta de dos version= es, una que abarca el nivel de actitud lingüística hacia la lengua castellana y otra hacia la lengua catalana. Se utilizó una escala Li= kert de 5 puntos, compuesta por un total de 12 ítems. Cada versión consta de tres constructos de cuatro ítems cada constructo: actitud afectiva, actitud cognitiva y actitud conductual (véase anexo 2).

Por lo que respecta a la fiabilidad de la versión que refiere a la lengua catalana, se obtuvieron valores de fiabilidad y consistencia interna adecuados para cada uno de los constructo= s (actitud afectiva: α =3D .90, ω =3D .89, AV= E =3D .69, actitud cognitiva: α =3D .89, ω =3D .90, AVE =3D .69 y actitud co= nductual: α =3D .91, ω =3D .91, AVE =3D .72). El conjunto total de la p= rueba mostró valores de fiabilidad y consistencia interna aceptables: ^= 5; =3D .96, ω =3D .96, AVE =3D .65. Por su parte, para la versión que = refiere a la lengua española, se obtuvieron valores de fiabilidad y consiste= ncia interna igualmente adecuados para cada uno de los constructos (actitud afectiva: α =3D .87, ω =3D .87, AVE =3D .62, actitud cognitiva: &= #945; =3D .81, ω =3D .82, AVE =3D .60 y actitud conductual: α =3D .90, `= 9; =3D .87, AVE =3D .69). El conjunto total de la prueba mostró valores de fiabi= lidad y consistencia interna aceptables: α =3D .94, ω =3D .94, AVE =3D = .58.

 

4.2.3. Amenaza lingüística percibida

 

La evaluación de la amenaza lingüística percibida se realizó mediante una pregunta de elaboración propia con dos versiones; una para cada leng= ua. En cada una de las dos versiones se pedía a los participantes que, en una escala Likert de 7 puntos (donde 1 significa 'nada amenazada' y 7 signi= fica 'muy amenazada') respondieran a la siguiente pregunta: “¿cómo valorarías la situación actual de = las siguientes lenguas en Cataluña en cuanto a su posible desaparición o reducción de uso?”.

4.2.4. Variables sociodemográficas

L= os participantes aportaron información sobre su género, edad, lu= gar de nacimiento y tiempo de residencia en Cataluña a través de preguntas ad hoc diseñadas para el propósito de este estudio.=

<= o:p> 

4.3. Procedimiento

 

Las pruebas se = administraron en formato online a través de la plataforma Microsoft Forms. Se obtuvo el consentimiento informado de los participantes, garantizando así el anonimato y la confidencialidad de los datos recolectados y cumpliendo con las normas éticas establecid= as por la Comisión Europea (European Commission, 2013).

 

4.4. Análisis de datos <= /p>

 

El tratamiento estadístico se realizó con la ayuda del lenguaje de programación R y su interfaz RStudio y d= el paquete informático IBM SPSS software versión 28 y su extensión AMOS.

P= ara conocer los efectos directos de las variables referidas a “amenaza lingüística percibida” y los efectos directos e indirecto= s de las variables “actitudes hacia el catalán y castellano” sobre la sensibilidad intercultural se diseñó un modelo Path basado en estadísticos de regresión lineal (Figura 2). Para reajustar la distribución de las muestras y así reducir el error estándar habitualmente asociado a muestr= as pequeñas, se implementó un método de remuestreo basado en bootstrapping paramétri= co. Además, la variable “edad” fue introducida en el análisis a modo de variable de confusión para eliminar su efe= cto sobre las variables objetivo. 

 

3D"Diagrama

Descripción<= o:p> 

Figura 2. Modelo Path para los efectos directos e indirectos de las variables estudiadas sobre la sensibilidad intercultural

<= o:p> 

Notas. CAT_ATT, actitud hacia el catalán; SPA_ATT, actit= ud hacia el castellano; CAT_THR, percepción de amenaza hacia el catalán; SPA_THR, percepción de amenaza hacia el castellano; INT_SEN, sensibilidad intercultural.

Por último, p= ara conocer la consistencia entre el modelo esperado y el modelo observado se utilizaron estadísticos Chi-square goodnes-of-fit, Comparative Fit<= /span> Index (CFI), Goodness-of-fit Index (GFI) y Root Mean S= quare Error of Approximation (RMSEA). Se consideran aceptables valores de CFI superiores a .95, valores = de GFI superiores a .95 y valores de RMSEA menores a 0.05 (Bentler, 1990).

 

<= o:p> 

5. RESULTADOS=

 

5.1. Estadísticos descriptivos

 

Antes del análisis de los datos, los participantes que dieron patrones de respuesta improbables fueron identificados y eliminados utilizando la distancia de = Mahalanobis (Leys et al., 2018). Como resultado, se elimina= ron 11 participantes para su posterior análisis.

La Tabla 1 presenta = los estadísticos descriptivos de las variables incluidas en el modelo. L= as puntuaciones indicadas corresponden a los valores originales obtenidos en l= as diferentes pruebas.

 

Medida

M

DE

Asimetría

Curtosis

Actitud hacia= el catalán

3.922

1.003

-1.013

0.293

Actitud hacia= el castellano

2.838

1.006

0.313

-0.662

Amenaza perci= bida hacia el catalán

4.809

1.632

-0.793

< .001

Amenaza perci= bida hacia el castellano

2.285

1.808

1.408

0.861

Sensibilidad intercultural

3.418

0.424

-0.108

-0.861

N= otas. M =3D media, DE =3D Desviación Estándar.<= /span>

 

Tabla 1. Estadísticos descriptivos de las variables que componen el modelo

 

5.2. Estadísticos de correlación de Spearman

 

Los estadísticos de correlación de Spearman (véase tabla 2) muestran que la actitud hacia el catalán está directamente relacionada con la amenaza percibida hacia el catal&aacut= e;n e inversamente con la actitud hacia= el castellano y la amenaza percibi= da hacia el castellano. En lo referido a la actitud hacia el castellano, muestra estar directamente relacio= nada con la amenaza percibida hacia el castellano, pero una relación inversa con la amenaza percibida hacia el catalán. Por su parte, la amenaza percibida hacia el castellano<= /i> presenta una relación inversa con la amenaza percibida hacia el catalán. Por último, la sensibilidad intercultural no mues= tra correlaciones significativas con ninguna variable, a excepción de la relación inversa con la amen= aza percibida hacia el castellano.

 

 

Medida

1<= /span>

2<= /span>

3<= /span>

4<= /span>

5<= /span>

1. Actitud hacia el catalán

_<= /span>

 

 

 

 

2. Actitud hacia el castellano

-.322**<= /o:p>

_<= /span>

 

 

 

3. Amenaza percibida hacia el catalán

.521**

-.284**<= /o:p>

_<= /span>

 

 

4. Amenaza percibida hacia el castel= lano

-.248**<= /o:p>

.301**

-.209**<= /o:p>

_<= /span>

 

5. Sensibilidad intercultural

.090

-.030

.006

-.213**<= /o:p>

_<= /span>

Nota. **p <= .01; *p < .05

 

Tabla 2. Estadíst= icos de correlación de Spearman entre las variables que componen el model= o

 

5.3. Análisis Path=  

 

El diagrama del modelo propuesto junto con sus respectivos coeficient= es Path estandarizados (*p < .05) y varianza explicada (R2) se muestran en la figura 3. Acorde con los requis= itos especificados en el apartado de análisis de datos, el modelo muestra= un ajuste aceptable: χ2 (1, N =3D 382) =3D 1.719, p =3D= .190; χ2/gl =3D 1.719; CFI =3D= .997; GFI =3D .998; RMSEA =3D .043).

3D"Diagrama

Descripción

Figura 3. Solución final del Modelo Pa= th para la sensibilidad intercultural

 <= /span>

Notas. Los estadísticos presentados en la figura hacen referencia a valores estandarizados. * =3D p < .05.

 

La tabla 3 muestra los parámetros estandarizados extraídos de las diferentes relaciones que componen el modelo propuesto. <= /p>

 

Paths<= /span>

β

Error Estándar

R.C. (z)=

p<= /span>

CAT_ATT à<= /span> CAT_THR=

.491

.072

11.100

< .001

SPA_ATT à<= /span> SPA_THR=

.267

.087

5.541

< .001

CAT_ATT à<= /span> SPA_THR=

-.258

.087

-5.358

< .001

SPA_ATT à<= /span> CAT_THR=

-.157

.072

-3.549

< .001

CAT_THR à<= /span> INT_SEN=

-.111

.016

-1.863

.063

SPA_THR à<= /span> INT_SEN=

-.164

.013

-3.001

.003

CAT_ATT à<= /span> INT_SEN=

.167

.026

2.744

.006

SPA_ATT à<= /span> INT_SEN=

.049

.023

.903

.367

Notas.= R.C. (z) =3D Ratio crítico.

Tabla 3. Par= ámetros estandarizados extraídos del modelo

 

5.4. Efectos di= rectos e indirectos

Con el fin de c= onocer la forma en que las actitudes lingüísticas explican la variabil= idad observada del constructo sensibilidad intercultural mediante sus efectos ta= nto directos como mediados por la amenaza lingüística percibida, se= ha realizado un análisis de efectos indirectos (Tabla 4).

 

INT_SEN

Efectos directos

Efectos indirectos

Efectos totales

 

 

Mediante CAT_THR

Mediante SPA_THR

 

CAT_ATT

.167*

-.055*

.042

.155*

SPA_ATT

.049

.017

-.044*

.022

= Nota. * =3D p < .05

&n= bsp;

Tabla 4. E= fectos directos, indirectos i totales sobre la sensibilidad intercultural: análisis de mediación

En cuanto a las actitudes lingüísticas hacia el catalán<= /i>, los resultados muestran que el constructo ejerce un efecto directo significativo y positivo sobre la sensibilidad intercultural, que se= ve atenuado por el efecto indirecto ejercido a través de la amenaza percibida hacia la lengua catalana. Por otra parte, las actit= udes lingüísticas hacia el castellano, si bien no muestran un ef= ecto directo significativo, en cualquier caso este efecto se vería atenua= do por el efecto negativo de la amenaza lingüística percibida hacia esta lengua.  

 

 

6.   DISCUSIÓ= N

 

A fin de respon= der a las preguntas de investigación planteadas, el presente estudio analizó el efecto directo de las actitudes lingüísticas hacia el catalán y castellano sobre la sensibilidad intercultural, así como el efecto mediador de la amenaza percibida hacia estas lenguas. 

En referencia a la primera pregunta de investigación, los resultados mostraron que las actitudes lingüísticas hacia el catalán ejercieron un efecto directo positivo sobre la sensibilidad intercultural, mientras que para las actitudes hacia el castellano este efecto result&oacu= te; no significativo. Estos resultados reafirman parcialmente las hipóte= sis planteadas y permiten varias interpretaciones sobre la dinámica de l= as lenguas en dicho contexto. Los hallazgos que muestran el impacto positivo de las actitudes hacia el catalán sugieren que los valores y la apreciación asociados a esta lengua pueden contribuir a la apertura = y el entendimiento intercultural. Como lengua territorial, el catalán pue= de asociarse con una alta conciencia de la diversidad cultural y lingüística, lo que a su vez fomenta el desarrollo de la sensibilidad intercultural. Estos hallazgos se encuentran en consonancia con estudios previos que han sugerido una relación entre las lenguas minoritarias y una mayor sensibilidad hacia las diferencias culturales (Bak= er, 1992; Sanhueza Henriquez, 2010).

P= or otro lado, el hecho de que el efecto de las actitudes hacia el castellano no resulte significativo puede indicar que su influencia sobre la sensibilidad intercultural es menos pronunciada en contextos donde coexisten dos lenguas. Una posible explicación es que el castellano, debido a su carácter estatalmente dominante, no requiere la misma protecci&oacut= e;n y promoción que el catalán, lo que puede reducir la necesidad= de que los hablantes con altas actitudes hacia el castellano desarrollen una sensibilidad intercultural para proteger su propia lengua (Herrarte y Hugue= t, 2007; Lasagabaster, 2014).

En relación con la segunda pregunta de investigación, los result= ados indicaron que la amenaza percibida hacia el catalán tuvo un efecto directo negativo con tendencia a la significación, mientras que la amenaza percibida hacia el castellano mostró efectos negativos y significativos. Estos hallazgos sugieren que la percepción de amenaza hacia la propia lengua repercute negativamente en la sensibilidad intercult= ural (Verdía Varela et al., 2020; Medeiros et= al., 2017). En el contexto catalán, aunque los resultados no alcanzan significación estadística, se observa una tendencia a la disminución de la sensibilidad intercultural debido a la asociación entre la amenaza lingüística y la amenaza hac= ia la identidad cultural (Tajfel et al., 1979; Amorrortu et al., 2009).

P= or último, en respuesta a la tercera pregunta de investigación, = los resultados mostraron que la percepción de amenaza lingüística hacia el catalán sí presenta un efecto mediador negativo significativo que atenúa el efecto total de dichas actitudes hacia la sensibilidad intercultural. Y por lo que respecta a las actitudes lingüísticas hacia el castellano, aunque dicho efecto resultó no significativo, sí se puede percibir un efecto medi= ador negativo por parte de la amenaza percibida a esta lengua respecto al efecto total de dichas actitudes hacia la sensibilidad intercultural. Esto podría deberse a que la preocupación por el futuro de las len= guas propias provoca un mayor etnocentrismo, lo que dificulta la apertura a otras culturas. Por lo tanto, las actitudes positivas hacia las lenguas propias estimulan la percepción de amenaza hacia las mismas, activando mecanismos de defensa de la identidad que atenúan su efecto positivo sobre la sensibilidad intercultural (Spencer-Rodgers y McGovern, 2002).

El estudio aporta información relevante al entendimiento de cómo= las actitudes lingüísticas hacia el catalán y el castellano y las variables de amenaza percibida hacia ambas lenguas operan sobre la sensibilidad intercultural de los residentes en un contexto de gran complej= idad cultural y lingüística como es Cataluña. No obstante, pa= ra realizar una adecuada interpretación de los resultados, es importante considerar algunas de sus limitaciones. En primer lugar, el estudio proporc= iona información sobre el modo y la intensidad con los que las variables actitudinales y las variables de amenaza percibida operan de forma directa e indirecta sobre la sensibilidad intercultural, pero no proporciona una explicación contundente sobre los agentes causantes de estas relacio= nes. En consecuencia, futuros estudios de tipo mixto es probable que pudieran ahondar en las consecuencias de porqué una mayor actitud lingüística muestra un efecto directo sobre la sensibilidad intercultural y porqué la percepción de amenaza se muestra mediadora de dicho proceso. En segundo lugar, el estudio no atiende al carácter dinámico de las variables observadas. Futuras investigaciones deberían encarar estas relaciones a través de estudios longitudinales para tener presente su posible variación en = el tiempo. Por último, si bien el estudio pretendió aportar una visión general del contexto catalán, es probable que diferent= es grupos en función de diversas variables como la edad, las características demográficas o el territorio en el que reside= n, mostrasen variaciones en cómo se dan este tipo de relaciones. Por ta= nto, un estudio certificado con un diseño experimental de tipo multinivel podría atender de una forma más contundente la complejidad del territorio catalán.

 

 

7.   CONCLUSIONES

 

El presente est= udio aporta, desde un enfoque cuantitativo, una visión integral del efect= o de las actitudes lingüísticas hacia el catalán y el castell= ano, así como de la amenaza percibida hacia ambas lenguas, sobre la sensi= bilidad intercultural en un contexto de alta complejidad lingüística co= mo es el catalán. En consecuencia, se extraen tres ideas generales de l= os resultados obtenidos: La primera idea apunta a que las actitudes lingüísticas ejercen un efecto positivo, con mayor o menor intensidad, pero en ningún caso negativo. La segunda idea resalta que las amenazas percibidas hacia el catalán y el castellano tienden a ejercer un efecto negativo hacia las dos lenguas, pero en ningún caso positivo. La tercera idea hace referencia a que el efecto moderador de las amenazas percibidas tiene la capacidad de atenuar el impacto de las actitud= es lingüísticas asociadas, pero no de acentuarlo para las otras lenguas.

Estos resultados no solo explican la influencia de las actitudes lingüísticas sobre la sensibilidad Intercultural y apoyan las políticas lingüísticas ya utilizadas en el territorio catalán, sino que también sugieren posibles áreas de mejora para estas. Por un lado, la evidencia de que las actitudes positivas hacia las lenguas tienen efectos favorables sobre la sensibilidad intercult= ural indica la necesidad de fomentar estrategias que refuercen esas actitudes a través de campañas educativas y de sensibilización. Por otro lado, la identificación de las amenazas percibidas como un fact= or negativo destaca la importancia de minimizar dichos temores, promoviendo una mayor cohesión y percepción de equidad lingüística entre los hablantes de ambas lenguas. De esta forma, las políticas lingüísticas podrían adaptarse para no solo mantener su impacto positivo, sino también mejorar la convivencia lingüística y fortalecer la sensibilidad intercultural.

 <= /p>

 <= /p>

REFERENCIAS BIBLIOGRÁFICAS

 

Baker, C. (1992). Attitudes and Language. Multilingual Matters.

Bennett, J. M. (1993). Toward ethnorelativism: A develop= mental model of intercultural sensitivity. In R. M. Paige (Ed.), Education for the intercultural experience (pp. 21-71). Intercultural Press.

Bennett, M. J. (2004). Becoming interculturally competent. T= oward multiculturalism: A reader in multicultural education2(1), 62-77.

Bennett, M. J., y Hammer, M. (2017). Developm= ental model of intercultural sensitivityThe international encyclop= edia of intercultural communication1(10).

Bentler,= P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.

Berry, J. W. (1974). Psychological aspects of cultural pluralism: Un= ity and identity reconsidered. Topics in Culture Learning= 2, 17-22.

Berry, J.W. (1980) Acculturation as varieties of adaptation. En Padi= lla, A., (Ed.), Acculturation: Theory, Models and Findings (pp. 9-25). Westview.

Berry, J. W. (2006). Acculturation: A conceptual overview. Acculturation a= nd parent-child relationships, 13-32.

Berry, J., Kalin, R., y Taylor, D. (1978). Multiculturalism and ethnic attitudes in Canada. Canadian Ethnic Studies =3D Etudes Ethniques Au Canada, 10(1).

Carbonell, J. (2019). La educación es política. Octaedro.=

Chen, G. M. (1997). A review of the concept of intercultural sensitivity. Articulo presentado en The Biennial Convention of the Pacific and Asian Communication Association (Honolulu, HI).

Chen, G. M., y Star= osta, W. J. (2000). The developm= ent and validation of <= span class=3DSpellE>the intercultural sensitivity scale. Human Communication, 3, 1-15.

Chen, H., y Hu, B. (2023). On the intercultural sensitivity of university student= s in multicultural regions: A case study in Macao. Frontiers in psycholo= gy14, 1090775.

Chen, L., et al. (2017). "Cultural Adaptability and Bilingualism: A Longitud= inal Study." Journal of Cross-Cultural Communication<= /span>, 12(1), 45-58.

Departament d’Ed= ucació (2004). Pla per a la Lengua i la Cohesión social. [en línea] http://www. xtec. net/lic<= /span>/intro/documenta. = Plan_LIC= . pdf.

Dovidio, J. F., Love, A., Schellhaas, F. M., y Hewstone,= M. (2017). Reducing intergroup bias through intergroup contact: Twenty years of progress and future directions. Group Processes & Intergroup Relations20(5), 606-620.

Engle, L., y Engle, J. (2004). Assessing language acquisition and intercultural sensitivity development in relation to study abroad program design. Frontier= s: The interdisciplinary journal of study abroad, <= i>10(1), 219-236.

European Commission. (2013). Ethics for Researchers. = BioScience<= span style=3D'font-size:10.0pt;font-family:"Verdana",sans-serif;color:black; mso-color-alt:windowtext;background:white'> (56).

Falcón Ccenta, P. M., & Mamani Quispe, L. A. (2017). Act= itudes lingüísticas en contextos interculturales: Población Asháninka Bajo Chirani. RLA. Revista de Lingüística Teórica y Aplicada, 55(1), 95-115.

Flubacher, M. C. (2016). On ‘Promoting and Demanding’Integration: A Discursive Case Study of Immigrant Language Policy in Basel. Discursive = approaches to language policy, 231-252.

Franco-Guillén, N. (2019). Europa davant la immigració: <= span class=3DSpellE>vells reptes, noves solucionsEines per a l'esquerra nacional<= /span>, (34), 26-36.

Generalitat de Catalunya (2024). Informe de política lingü&iacut= e;stica 2022. Departament de Cultura. Generalitat d= e Catalunya.

Generalitat de Catalunya, Departament<= /span> d’Educació (2018). El model lingüístic del sistema educatiu de Catalunya: L’aprenentatge i l’ús de les llengües en un context educatiu multilingüe i multicultural. Gencat.cat https://educacio.gencat.cat/web/.content/home/departament/publicacions/mo= nografies/model-linguistic/model-linguistic-Catalunya-CAT.pdf

Generalitat de Catal= uña. Centre d’Estudis d&#= 8217;Opinió. (2022). Baròmetre d’Opinió Política. = 1a onada 20= 22 https://ceo.gencat.cat/ca/barometre/detall/inde= x.html?id=3D8308>

Herrarte, D. L., y Huguet, À. (Eds.). (2007). Multilingualism in European Bilingual Contexts: Language Use and Attitudes. Multilingual<= /span> Matters.

Huguet, Á., y González-Riaño, X. A. (2004). Actitudes lingüísticas, lengua familiar y enseñanza de la lengua minoritaria. Horsori.

Ianos<= span style=3D'font-size:10.0pt;font-family:"Verdana",sans-serif;color:black; mso-color-alt:windowtext;background:white'>, M. A., Huguet, Á., Janés, J., y Lapresta, C. (2015). Can lang= uage attitudes be improved? A longitudinal study of immigrant students in Catalo= nia (Spain). International Journal of Bilingual Education and Bilingual= ism20(3), 331-345.

IDESCAT (2022). = ;Población a 1 de eneroProvincias. https://www.idescat.cat/pub/?id=3Daec&n=3D245&lang=3Des

Jeram<= span style=3D'font-size:10.0pt;font-family:"Verdana",sans-serif;color:black; mso-color-alt:windowtext;background:white'>, S., y Nic= olaides, E. (2019). Intergovernmental Relations on Immigrant Integration in Canada: Insights from Quebec, Manitob= a, and Ontario. Regional & Federal Studies 29(5), 613–633.

Lapresta-Rey, C., Huguet, Á., y Fernández-Costales, A. (2017). Language attitudes, family language and generational cohort in Catalonia: New contributions from a multivariate analysis. Language and Intercultural Communication, 17(2), 135-149.

Lasagabaster, D. (20= 14). El español y las lenguas cooficiales en el Estado español: actitudes lingüísticas en un contexto multilingüe. Revista Internacional de Lingüística Iberoamericana12= (23), 25-40.

Leys, C., Klein, O., Dominicy, Y., & Ley, C. (2018). Detecting multivariate outliers: = Use a robust variant of the Mahalanobis distance.&n= bsp;Journal = of experimental social psychology74, 150-156.=

Medeiros, M. (2017). Refining the influence of language on national attachment: Explo= ring linguistic threat perceptions in Quebec. Nationalism and Ethnic Politics23(4), 375-390.

Medeiros, M. (2019). National frenemies: Linguistic intergroup attitudes in Canada.&n= bsp;Ethnic and Racial Studies42(16), 3-22.

Medeiros, M., Fournier, P., y Benet-Martínez, V. (2017). The language of threa= t: Linguistic perceptions and intergroup relations. Acta Politica52, 1-22.

Moradi, E., y Ghabanchi, Z. (2019). Intercultural sensitivity. Journal of Ethnic and Cultural Studies6<= /i>(3), 134-146.

Pettigrew, T. F., y Tropp, L. R. (2008). How does intergroup contact reduce prejudice? Metaanalytic tests of three mediators. European journal of social psychology38(6), 922-934.

S= áenz-Hernández, I. (2023)= . Multilingualism as misbehavior: Linguistic acculturation, ident= ity, and immigrant heritage languages in Catalan schools. [Tesi doctoral, Universitat de Lleida]. http://hdl.handle.net/10803/6= 88899

Sáenz-Hernández, I., Petreñas, C., Lapresta-Rey, C., y Ubalde, J. (2023). ‘They speak Arabic= to make teachers angry’: High-school teachers’ (de) legitimization= of heritage languages in Catalonia. Linguistics and Education78, 101232.

Sanhueza Henríquez, S. V. (2010). Sensibilidad intercultural: Un estudio exploratorio con alumnado de educación primaria y secundaria en la provincia de Alicante. Universidad de Alicante.=

Sarnoff, I. (1970). S= ocial attitudes and the resolution of motivational conflict. Penguin.<= /span>

Spencer-Rodgers, J., y McGovern, T. (2002). Attitudes toward the culturally different: The role of intercultural communication barriers, affective responses, consensual stereotypes, and perceived threat. International journal of intercultural relations26(6), 609-631.

Tajfel, H. (1982). Social psychology of intergroup relations. Annual review of psychology33(1), 1-39.=

Tajfel, H. (Ed.). (2010). Social identity and intergroup relations = ;(Vol. 7). Cambridge University Press.=

Tajfel, H. E. (1978).&nb= sp;Differentiation between social groups: Studies in the social psychology of intergroup relat= ions. Academic Press.

Tajfel, H., Turner, J. C., Austin, W. G., y Worchel, S. (1979). An integrative theory of intergroup conflict. Organiza= tional identity: A reader56(65), 9780203505984-16.<= /span>

Verdía Varela,= V., Fernández Suárez, B., y De Palma, R. (2020). What is integration? a comparative view from immigrants and municipal policy. = International Migration58(5), 128-143.

Villalba, N. L., &am= p; Ruiz, C. E. (2021). Estilos de aprendizaje interculturales (sensibilidad intercultural) y modalidades en la carta argumentativa en estudiantes bilingües de licenciatura en lenguas modernas de una universidad colombiana y una francesa. Revista<= /span> Boletín Redipe, <= i>10(12), 187-199.

Wisthaler, V. (20= 16). South Tyrol: The importance of boundaries for immigrant integration. <= i>Journal of Ethnic and Migration Studies, 42(8), 1271-1289.

Woolard, K. A. (2016). Singular and plural: Ideologies of linguistic authori= ty in 21st century Catalonia. Oxford University Press.

 <= /p>

 <= /p>

<= o:p> 

 

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