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Record W3023416696 · doi:10.1037/dev0000935

The longitudinal association between externalizing and internalizing problems: An exploration of the dual failure model.

2020· article· en· W3023416696 on OpenAlexafffund
Stéphanie Boutin, Valérie Roy, Renée A. St-Pierre, Michèle Déry, Jean‐Pascal Lemelin, Alexa Martin‐Storey, Martine Poirier, Jean Toupin, Pierrette Verlaan, Caroline E. Temcheff

Bibliographic record

VenueDevelopmental Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à RimouskiUniversité de SherbrookeMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchUniversité de Sherbrooke
KeywordsPsychologyAssociation (psychology)ExternalizationDevelopmental psychologyLongitudinal studyDual (grammatical number)Clinical psychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

The Dual Failure Model suggests that peer victimization (social failure) and academic difficulties (academic failure) mediate the association between externalizing and later internalizing problems. The present study sought to better understand why children with externalizing problems develop later internalizing problems by testing the Dual Failure Model using a sample of 744 children (aged 6 to 10 at Time 1 [T1]), of whom 434 (44.7% girls) presented with high levels of conduct problems at study inception. Both parent and teacher ratings of externalizing and internalizing problems support the social failure pathway, but not the academic failure pathway. Children with externalizing behaviors at T1 who developed internalizing problems 2 years later did so via their experiences of peer victimization. These results apply for both boys and girls and do not vary according to child age at T1 or the level of conduct problems at study inception. These findings underscore the importance of early screening and intervention for externalizing behavioral problems in order to reduce subsequent peer victimization and internalizing problems. Findings regarding the consequences of internalizing are also discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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)0.005
metaresearch head score (Gemma)0.011
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0000.002
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 head0.106
GPT teacher head0.331
Teacher spread0.224 · 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

Citations27
Published2020
Admission routes2
Has abstractyes

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