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Patterns of Affiliation with Delinquent Friends During Late Childhood and Early Adolescence: Correlates and Consequences

2005· article· en· W1965070479 on OpenAlexafffund
Frank Vitaro, Mara Brendgen, Brigitte Wanner

Bibliographic record

VenueSocial Development · 2005
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaUniversité du Québec à Montréal
KeywordsPsychologyJuvenile delinquencyDevelopmental psychologyPeer groupLongitudinal studyLate childhoodAssociation (psychology)FriendshipSocial psychology

Abstract

fetched live from OpenAlex

Abstract This study examined longitudinal patterns of affiliation with delinquent friends during late childhood and early adolescence, i.e., from ages 10 through 13, in a sample of 376 participants of both genders. Four groups with distinct affiliation profiles were found: an early affiliative group, a late affiliative group, a declining group (i.e., a group that affiliates with delinquent friends early on but much less so thereafter), and a group of children who did not affiliate with delinquent friends throughout the period covered in this study. There was also a fifth group of children who had no mutual friends throughout. The proportion of boys and girls varied in some groups but not in others. Participants’ own delinquency and depression trajectories as well as other behavior‐ , peer‐ , school‐ , and family‐related correlates were examined in association with group membership through the use of growth curves analysis. The results are discussed in light of prevalent theories about the role of delinquent friends with respect to externalizing and internalizing problems.

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)0.003
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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

Citations62
Published2005
Admission routes2
Has abstractyes

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