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Record W7096486601

DOI 10.1007/s12134-009-0124-x

2015· article· en· W7096486601 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsArabicIslamAdaptation (eye)Accommodation
DOInot available

Abstract

fetched live from OpenAlex

Abstract In this article, the author first deals with an overview of the socio-demographic characteristics of the Muslim community in Canada, especially in Quebec, and of its educational experiences in Quebec schools. She then analyzes in more depth three important controversies that have targeted the Muslim community in the last 20 years, respectively, regarding the teaching of Arabic at the end of the 1980s, the wearing of the Muslim veil in the mid-1990s and the wider reasonable accommodation debate, which did not specifically target it, in 2007–2008. In the third part based on a major survey of Quebec schools, she, nevertheless, argues that to some extent, these controversies have permitted to foster, to a certain degree, the adaptation of public schools to Muslim students ’ needs. Résumé L’auteure donne d’abord un aperçu des caractéristiques socio-démographiques de la communauté musulmane au Canada, et plus spécialement au Québec, ainsi que de son expérience éducative dans les écoles québécoises. Elle analyse ensuite, de manière plus approfondie, trois controverses qui ont visé la communauté musulmane ces vingt dernières années qui concernent respectivement, l’enseignement de l’arabe à la fin des années 80, le port du voile islamique aumilieu des années 90 ainsi que le débat plus large sur l’accommodement raisonnable en 2007–2008 qui ne la visait pas spécifiquement. Dans la troisième partie, en se basant sur une enquête quantitative importante dans les écoles québécoises, l’auteure fait valoir que ces conflits ont toutefois favorisé une certaine adaptation des écoles publiques aux besoins des élèves musulmans.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.447
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.011

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 head0.115
GPT teacher head0.406
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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