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Record W3036790754 · doi:10.7202/1069643ar

Marché scolaire et reproduction des inégalités sociales au Québec

2020· article· fr· W3036790754 on OpenAlexaffvenueabout
Pierre Canisius Kamanzi

Bibliographic record

VenueRevue des sciences de l éducation · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’objectif de cet article est d’analyser l’effet de la stratification du marché scolaire sur la persistance de la reproduction sociale des inégalités dans l’enseignement postsecondaire au Québec. Les résultats obtenus à partir d’un échantillon (N = 2 677) d’une cohorte d’élèves nés en 1984 et observés jusqu’à l’âge de 22 ans mettent en évidence deux constats principaux. En aval, les élèves fréquentant un établissement privé ou public avec programmes enrichis (en mathématiques, en langue et en science) accèdent aux études collégiales et universitaires dans une proportion nettement plus élevée que leurs pairs ayant seulement suivi des programmes réguliers dans un établissement public. Les analyses montrent que l’influence de l’établissement fréquenté s’opère elle-même par l’intermédiaire des inégalités de performances et d’aspirations scolaires et professionnelles caractérisant les élèves. En amont, des analyses supplémentaires révèlent que la probabilité de fréquenter un établissement privé ou public avec programmes enrichis est fortement corrélée avec l’origine sociale de l’élève.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0040.013
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.583
GPT teacher head0.459
Teacher spread0.123 · 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 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

Citations14
Published2020
Admission routes3
Has abstractyes

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