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Record W1586202619 · doi:10.7202/1005818ar

Puberté, image corporelle et attitudes dysfonctionnelles : différences entre filles et garçons dans les symptômes dépressifs durant le passage primaire-secondaire

2011· article· fr· W1586202619 on OpenAlexaffvenue
Marianne Bélanger, Diane Marcotte

Bibliographic record

VenueSanté mentale au Québec · 2011
Typearticle
Languagefr
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDysfunctional familyPsychologyDepressive symptomsDepression (economics)Clinical psychologyMedicineDevelopmental psychologyAnxietyPsychiatry

Abstract

fetched live from OpenAlex

The objective of this longitudinal study was to examine the emergence of differences in girls and boys in depressive symptoms during the transition from elementary to secondary school. Four hundred and ninety nine adolescents followed through the last grade of primary school and the first year of secondary school completed measures of pubertal status, body image, dysfunctional attitudes and depressive symptoms. Results show that puberty and body image slightly mediated the relationship between sex and depressive symptoms and that dysfunctional attitudes did not mediate the relationship between puberty lived during transition to secondary school and depression. Results also demonstrate the importance of better understanding the impact of transition to secondary school on adolescents' depressive symptoms.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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
Published2011
Admission routes2
Has abstractyes

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