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Record W4366159562 · doi:10.7202/1098244ar

Les représentations de l’interculturalisme à l’Assemblée nationale du Québec

2023· article· fr· W4366159562 on OpenAlexaffvenueabout
David Carpentier, Félix Mathieu

Bibliographic record

VenueRecherches sociographiques · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversity of WinnipegUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’interculturalisme n’ayant toujours pas été officialisé par l’intermédiaire d’une loi ou politique publique formelle et contraignante, comment les parlementaires québécois – mais aussi les intervenants avec qui ils dialoguent – se le représentent-ils dans leurs échanges à l’Assemblée nationale? Cet article se propose de répondre à cette question en réalisant une analyse de contenu critique qualitative et systématique des échanges portant sur l’interculturalisme à l’Assemblée nationale du Québec depuis l’apparition de cette notion en 1987 (33 e législature) jusqu’à la portion de la 42 e législature (2018-) qui précède l’ajournement des travaux au mois de mars 2020, en raison de la pandémie de COVID-19. En montrant l’existence de deux principales coalitions de discours, l’une qualifiée de libérale-pluraliste et l’autre de républicaine-moniste, cet article décortique les débats parlementaires en illustrant comment les acteurs associés à ces deux approches se représentent les fondements du modèle québécois en matière d’aménagement de la diversité, le rapport qu’il propose entre la culture majoritaire et les minorités ethnoculturelles, et ses objectifs présumés.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.389
GPT teacher head0.545
Teacher spread0.156 · 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
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

Citations3
Published2023
Admission routes3
Has abstractyes

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