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Record W2941457104 · doi:10.4000/remi.11280

Immigration et morphologie des parcours scolaires dans l’enseignement supérieur au Canada : le cas de la province de Québec

2018· article· fr· W2941457104 on OpenAlexaffabout
Pierre-Canisius Kamanzi, Marie‐Odile Magnan, Annie Pilote, Pierre Doray

Bibliographic record

VenueRevue européenne de migrations internationales · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversité du Québec à MontréalUniversité LavalUniversité de MontréalCégep Marie-Victorin
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article vise à décrire et comprendre la morphologie des parcours des jeunes Québécois issus des familles immigrantes dans l’enseignement supérieur, ainsi que les facteurs qui contribuent à la structuration de ces parcours. Les résultats obtenus à partir des données du ministère de l’Éducation (N =20 387) révèlent que ces jeunes poursuivent les études supérieures par la voie des parcours linéaires dans une proportion plus élevée que leurs pairs dont les parents sont nés au Canada. Toutefois, les différences sont nettement plus élevées à l’université qu’au collège d’enseignement général et professionnel (CEGEP). De plus, il existe des différences significatives parmi les jeunes d’origine immigrante selon l’origine géographique des parents. En revanche, il n’y a presque pas de différence à propos des parcours non linéaires. L’article suggère quelques pistes d’interprétation.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0070.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.017
GPT teacher head0.302
Teacher spread0.286 · 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
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

Citations8
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueRevue européenne de migrations internationalesSame topicGlobal Educational Policies and ReformsFrench-language works237,207