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Record W2615843243 · doi:10.1177/0272431617708054

School Adjustment and Substance Use in Early Adolescent Boys: Association With Paternal Alcoholism With and Without Dad in the Home

2017· article· en· W2615843243 on OpenAlexaffabout
René Carbonneau, Frank Vitaro, Richard E. Tremblay

Bibliographic record

VenueThe Journal of Early Adolescence · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité de MontréalResearch Unit on Children's Psychosocial MaladjustmentCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsSocioeconomic statusModerationSubstance useStepfamilyPsychologyAssociation (psychology)Monitoring the FutureSubstance abuseDevelopmental psychologyJuvenile delinquencyClinical psychologyMedicinePsychiatryEnvironmental healthSocial psychologyPopulation

Abstract

fetched live from OpenAlex

The present study examined the association of paternal alcoholism with early adolescent boys’ school adjustment and substance use, and its moderation by paternal absence, controlling for parents’ socioeconomic resources. A community sample of 653 urban, low socioeconomic status (SES) families from Montreal, Canada, was assessed and information collected from parents, teachers, and adolescents’ self-reports, and school records. Paternal alcoholism was significantly associated with boys’ lower academic performance, lower grades, higher frequency of tobacco, marijuana and hard drugs use, of getting drunk, and using a variety of hard drugs. However, the separation from the alcoholic father represented a significant factor of moderation in regard to boys’ substance use: Sons of alcoholic fathers living with their dad in intact families were more likely to use tobacco and marijuana, to get drunk, and to use a variety of hard drugs than their peers not living with their alcoholic father, whether in single-mother or stepfamilies.

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)0.000
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 score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.053
GPT teacher head0.311
Teacher spread0.258 · 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

Citations8
Published2017
Admission routes2
Has abstractyes

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