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Record W2103529264 · doi:10.7202/012520ar

Performance et cheminement scolaires des jeunes d’origine immigrée au Canada : apport actuel et utilisation des banques de données provinciales

2006· article· fr· W2103529264 on OpenAlexaffvenueabout
Paul Anisef, Jean‐Guy Blais, Marie Mc Andrew, Charles Ungerleider, Robert Sweet

Bibliographic record

VenueCahiers québécois de démographie · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsLakehead UniversityUniversity of British ColumbiaUniversité de MontréalYork University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La recherche présentée ici concerne la performance et le cheminement scolaires des jeunes Canadiens d’origine immigrée, aux niveaux primaire et secondaire, et porte sur les banques de données recueillies par les ministères de l’Éducation ou les conseils ou commissions scolaires du Québec, de l’Ontario et de la Colombie-Britannique. Son objectif est de réaliser un bilan critique de l’état des données, de contraster les conclusions d’études menées à partir d’elles et d’identifier les lacunes existantes en vue d’un projet pancanadien plus large. Diverses questions pourraient être éclairées par l’une ou l’autre des banques, tels les sous-groupes d’origine immigrée qui devraient recevoir un soutien prioritaire, les moments charnières où se joue leur scolarité, le lien entre la durée du soutien en langue seconde et la performance des élèves allophones, ainsi que la différence des défis vécus dans les écoles de langue française ou de langue anglaise, et dans les métropoles ou en région.

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)0.016
metaresearch head score (Gemma)0.046
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 score0.053
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.011
Science and technology studies0.0060.003
Scholarly communication0.0090.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Citations2
Published2006
Admission routes3
Has abstractyes

Explore more

Same venueCahiers québécois de démographieSame topicCanadian Identity and HistoryFrench-language works237,207