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Record W3167943695 · doi:10.7202/1077976ar

Décrochage scolaire : la relation élève-enseignants peut-elle l'emporter contre le quotient intellectuel?

2021· article· fr· W3167943695 on OpenAlexaffvenueabout
Carmen-Édith Belleï-Rodriguez, Serge Larivée, Julien Morizot

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Le Québec détient le plus haut taux de non-diplomation au Canada. Les conséquences individuelles et sociales sont nombreuses, ayant des répercussions à très long terme. Bien qu’un faible quotient intellectuel (QI) soit un facteur de risque important du décrochage scolaire, certains facteurs pourraient moduler cette relation. L'objectif de l'étude est d'examiner l'effet modérateur de la relation élève-enseignants sur le lien entre le QI et le décrochage scolaire à l’aide des données provenant de l'étude Stratégie d'Intervention Agir Autrement (SIAA). Selon les analyses de régression logistique, le score de QI contribue à prédire le décrochage scolaire. Cependant, la relation élève-enseignants ne contribue pas au modèle de prédiction et ne modère pas l'association entre le QI et le décrochage scolaire.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.331
GPT teacher head0.426
Teacher spread0.095 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes3
Has abstractyes

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