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Record W2920650253 · doi:10.7202/1058411ar

ADAPTATION AU COLLÉGIAL ET VULNÉRABILITÉS DURANT LA TRANSITION SECONDAIRE-COLLÉGIAL

2019· article· fr· W2920650253 on OpenAlexaffvenue
Ariane Meunier-Dubé, Diane Marcotte

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2019
Typearticle
Languagefr
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Cette étude longitudinale examine si l’adaptation au collège des étudiants est influencée par la présence des vulnérabilités cognitives et des symptômes dépressifs avant et pendant cette transition. Deux cent onze étudiants ont complété les versions françaises des questionnaires Beck Depression Inventory — Second Edition, Dysfunctional Attitude Scale et Student Adaptation to College Questionnaire. En 1re année au collège, 6,2 % des étudiants de l’échantillon rapportent présenter des symptômes dépressifs modérés à sévères. Malgré le nombre plus élevé d’étudiantes dépressives, les résultats n’indiquent aucune différence reliée au genre quant à l’adaptation académique et sociale. Lors des deux années au collège, la présence de certaines distorsions cognitives et de symptômes dépressifs contribue à prédire ces formes d’adaptation. Une discussion des résultats est présentée.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.251
GPT teacher head0.441
Teacher spread0.190 · 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
Published2019
Admission routes2
Has abstractyes

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Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207