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Record W615342972 · doi:10.71781/21441

« Accommodements raisonnables » pour motif religieux : étude d’un débat public

2008· dissertation· fr· W615342972 on OpenAlexaboutno aff
Joëlle Quérin

Bibliographic record

VenueOpen MIND · 2008
Typedissertation
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsMotif (music)ArtPolitical scienceAesthetics

Abstract

fetched live from OpenAlex

Ce mémoire porte sur la polémique qui a eu lieu au Québec entre mars 2006 et décembre 2007 autour des pratiques d’« accommodements raisonnables » pour motif religieux. À partir d’une approche compréhensive et d’un cadre théorique propre à la sociologie des relations ethniques, il propose une analyse qualitative de lettres d’opinion publiées dans des quotidiens québécois. Une première analyse, thématique, a permis de constituer des registres argumentaires dans lesquels ont puisé les participants au débat public sur les « accommodements raisonnables » par le biais de lettres d’opinion. Une seconde analyse, comparative, a permis de construire des figures d’intervenants du débat public qui témoignent non seulement des forces idéologiques qui se sont affrontées dans le débat public, mais également de leur positionnement au croisement des axes saillants de la différenciation sociale dans cette polémique Les résultats de ces analyses suggèrent d’abord que la polémique résulte d’un conflit entre marqueurs identitaires devant servir au positionnement des frontières ethniques, et ensuite que la polémique des « accommodements raisonnables » a donné lieu à une reconfiguration des rapports ethniques au Québec, attribuable à la dissociation entre le conflit entre deux nations et celui sur les critères d’inclusion à la nation.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0110.006
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.240
GPT teacher head0.436
Teacher spread0.196 · 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 designQualitative
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
Published2008
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207