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Record W3137655604

Access to higher education in Quebec: The impact of the education market

2020· article· en· W3137655604 on OpenAlexaboutno aff
Pierre Canisius Kamanzi, Christian Maroy, Marie‐Odile Magnan

Bibliographic record

VenueRevue francaise de pedagogie · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumHigher educationSocial stratificationCohortMathematics educationSample (material)Political scienceSociologyMedical educationPedagogyPsychologyMedicineSocial sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

This article aims to show that the stratification of the Quebec secondary education market leads to further social inequalities in higher education. The results obtained from a sample (N=2,677) drawn from a cohort of students born in 1984, and observed up to the age of 22, reveal that the influence of social origin on access to higher education operates mainly through the type of secondary school attended: private school, state school with only conventional curricula and state school offering enriched curricula (in mathematics, science or languages). Students from private schools or state schools with enriched curricula are significantly more likely to move on to college and university education than their peers who have attended a state institution offering only regular curricula. The analyses show that the likelihood of attending a private or state school offering enriched curricula is strongly correlated with the social origin of the student. The influence of the education market operates through the differences in performance and educational aspirations that characterize students in the three types of school.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.060
GPT teacher head0.411
Teacher spread0.351 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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Same venueRevue francaise de pedagogieSame topicHigher Education Governance and DevelopmentFrench-language works237,207