MétaCan
Menu
Back to cohort
Record W2790347015 · doi:10.1177/0272431618757679

The Role of Academic Skills in the Evolution of Conduct Problems and Depressive Symptoms Among Children With and Without Early Clinically Significant Conduct Problems

2018· article· en· W2790347015 on OpenAlexafffund
Martine Poirier, Caroline E. Temcheff, Michèle Déry, Jean Toupin, Pierrette Verlaan, Jean‐Pascal Lemelin

Bibliographic record

VenueThe Journal of Early Adolescence · 2018
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de SherbrookeMcGill UniversityUniversité du Québec à Rimouski
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchUniversité du Québec à MontréalUniversité du Québec à RimouskiFonds de Recherche du Québec-Société et CultureMcGill University
KeywordsConduct disorderDepressive symptomsPsychologyClinical psychologyDevelopmental psychologyPsychiatryCognition

Abstract

fetched live from OpenAlex

Youth with conduct problems present frequently depressive symptoms. Academic skills are thought to be a mediating variable by which conduct problems could lead to depressive symptoms. No studies have longitudinally compared this model among school-aged boys and girls with different levels of conduct problems. Cascade models were tested to examine the relations between conduct problems, depressive symptoms, and academic skills over a 3-year period, and whether the severity of conduct problems and gender moderated these associations. Participants were 381 children presenting early clinically significant conduct problems (44.9% female) and 363 children with low levels of conduct problems (48.8% female). While results did not show any cascade or indirect associations, they revealed different direct links between conduct problems or depressive symptoms and academic skills in the four groups. These findings suggest that conduct problems severity and gender differences should be considered in treatment planning.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.287
Teacher spread0.267 · 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.

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

Citations7
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Early AdolescenceSame topicChild and Adolescent Psychosocial and Emotional DevelopmentFrench-language works237,207