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Record W2297042492 · doi:10.1177/070674370805300107

Symptomatologie et adaptation psychosociale des adolescents ayant un trouble dépressif cooccurrent à un trouble de comportement perturbateur

2008· article· fr· W2297042492 on OpenAlexaffvenue
Jean Toupin, Yann Le Corff, Robert Pauzé

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2008
Typearticle
Languagefr
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Objectif: Décrire la symptomatologie ainsi que l'adaptation psychologique, sociale et scolaire spécifique des adolescents qui présentent un trouble dépressif cooccurrent à un trouble de comportement perturbateur, de même que leur situation familiale. Méthode: Cette étude compare, à l'aide de régressions logistiques binomiales, des adolescents ayant un trouble dépressif cooccurrent à un trouble de comportement perturbateur ( n = 25) avec des adolescents ayant les mêmes difficultés de comportement, sans trouble dépressif cooccurrent ( n = 99). Les effets d'interactions en fonction du sexe sont étudiés. Résultats: Bien que les deux groupes aient plusieurs caractéristiques similaires, les jeunes ayant un double diagnostic ont plus de symptômes d'opposition et une estime de soi plus faible. Les analyses ne révelent aucun effet d'interaction selon la variable sexe. Conclusions: Les adolescents des deux groupes profiteraient d'interventions similaires relativement aux troubles de comportement perturbateurs et de certaines difficultés associées, soit la consommation de substances psychoactives, la fréquentation de pairs déviants et le fonctionnement scolaire problématique. Une attention particuliere doit être portée aux adolescents ayant un trouble dépressif surajouté, vu la symptomatologie oppositionnelle plus marquée et l'estime de soi plus faible.

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)0.004
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.050
GPT teacher head0.290
Teacher spread0.240 · 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

Citations1
Published2008
Admission routes2
Has abstractyes

Explore more

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