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Record W2030025380 · doi:10.1353/ces.2011.0031

Two Multicultural Debates and the Lived Experiences of Chinese-Canadian Youth

2011· article· en· W2030025380 on OpenAlexvenueaboutno aff
Dan Cui

Bibliographic record

VenueCanadian ethnic studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismRacismGender studiesSociologyEthnic groupPoliticsPolitical scienceLawAnthropologyPedagogy

Abstract

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This paper examines the lived experiences of Chinese-Canadian youth in Alberta in relation to two multiculturalism debates: multiculturalism as a politics of recognition and multiculturalism as a cohesive force. It focuses on three themes of their lived experiences, which include racial discrimination and stereotypes in school; biased media representation; and the relationship between ethnic language maintenance, sense of belonging and multiculturalism policy within a bilingual framework. Two findings are highlighted in this paper. First, the racism youth experienced at school and the racist discourse against Chinese-Canadian students found in Canadian media indicate that Chinese Canadians as racialized and ethnic minorities have not been recognized and treated as equal partners in social interactions with the White dominant group. The multicultural policy focus and task of addressing racism in the 1980s has yet to be finished despite current multicultural policy having a new focus. Second, multiculturalism within a bilingual framework is more an assimilating force than a divisive one. Given the separation of language rights and cultural rights as well as the strong linguistic and cultural assimilation forces in major Canadian institutions, it is less likely for Chinese-Canadian youth to maintain their ethnic language and culture. The main factor that affects their sense of belonging to Canada is the racism in Canadian society rather than the symbolic recognition of diversity that multiculturalism encourages. Cet article porte sur les expériences vécues par la jeunesse sino-canadienne en Alberta par rapport à deux débats multiculturels : le multiculturalisme en tant que politique de reconnaissance d'une part, et que force cohésive, d'autre part. Notre étude se focalise sur trois thèmes de ce qu'ils ont vécu, et inclut la discrimination raciale et les stéréotypes à l'école, la représentation biaisée des médias, et enfin, la relation entre le maintien de la langue ethnique, le sentiment d'appartenance et la politique du multiculturalisme à l'intérieur d'un cadre bilingue. Nous relevons deux constats : d'abord, le racisme que les jeunes subissent à l'école et le discours raciste contre les étudiants sino-canadiens que l'on trouve dans les médias de ce pays, indiquent que les Canadiens chinois, en tant que minorités ethniques racialisées, ne sont ni reconnus ni traités comme partenaires égaux dans les interrelations sociales avec le groupe dominant des Blancs. L'objectif et la tâche de la politique multiculturelle de prendre en cause le racisme dans les années 1980 sont loin d'être remplis, bien qu'aujourd'hui celle-ci aille dans une nouvelle direction. Selon notre second constat, le multiculturalisme dans un cadre de travail bilingue est plus une force assimilatrice qu'un facteur de division. Étant donné, au niveau linguistique et culturel, la séparation des droits et les grandes forces d'assimilation dans les principales institutions canadiennes, il est moins que probable que la jeunesse sino-canadienne maintienne sa langue et sa culture d'origine. Le facteur principal qui affecte son sentiment d'appartenance au Canada est le racisme de la société de ce pays, bien plus que la reconnaissance symbolique de la diversité encouragée par le multiculturalisme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.125
GPT teacher head0.326
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2011
Admission routes2
Has abstractyes

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