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Record W2483704505 · doi:10.4000/caliban.1832

Du port du turban à l’arbitrage religieux : les limites du multiculturalisme canadien comme projet de société

2007· article· en· W2483704505 on OpenAlexaboutno aff
Sandrine Tolazzi

Bibliographic record

VenueAnglophonia Caliban/Sigma · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismPolitical scienceLaw and economicsSociologyArbitrationCohesion (chemistry)HumanitiesPolitical economyLawPhilosophy

Abstract

fetched live from OpenAlex

Since it was adopted as government policy in 1971, Canadian multiculturalism has always tried to steer between the need to respect the different communities living in the country and the necessity of maintaining unity. Thus, it is both a policy of recognition which aims at promoting difference and a policy of integration at the heart of a societal project based on developing a pan-Canadian identity. However, in the post-9/11 context, the fragile balance between these two aspects of the aforementioned policy seems to be increasingly threatened. While some may question its principles on the account that they are a menace to an "ideal" homogeneity, others would like it to be further enforced even though it might increase differences between the groups. Therefore, multiculturalism is being faced with new challenges, among which the debate on the possibility of using Islamic law in the arbitration of family matters is only one example. Drawing from such examples, this article comments on the limits of multiculturalism as an instrument of social cohesion and shows how the flexibility of the policy makes it possible to deal with these challenges

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score0.663

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.032
Scholarly communication0.0120.004
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.080
GPT teacher head0.355
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2007
Admission routes1
Has abstractyes

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