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Record W2035815600 · doi:10.3200/jrpl.142.4.427-444

Pathways to Competence: Parental Adversity and the Roles of Parenting Quality and Social Support

2008· article· en· W2035815600 on OpenAlexaffabout
Karen M. Macmillan, Claudio Violato

Bibliographic record

VenueThe Journal of Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of CalgaryRoyal College of Physicians and Surgeons of CanadaMount Royal University
Fundersnot available
KeywordsPsychologyDevelopmental psychologyPath analysis (statistics)Competence (human resources)Social competenceCohortSocial changeSocial psychologyMedicine

Abstract

fetched live from OpenAlex

The authors studied a representative Canadian cohort from the National Longitudinal Study of Children and Youth at 3 points in time, when the participants were aged 10-11 years (n = 2,147), 12-13 years (n = 1,976), and 14-15 years (n = 1,762). The presence of parent-related adversity appeared detrimental to young people's emotional and behavioral competence. Parents' self-reports of adversity predicted children's self-reports of their own behavioral functioning 2 years later. The authors identified parenting quality and social support as independent resource variables for young people's competence, rather than protective variables in the face of parent-related adversity. Latent variable path analyses suggested the increasing value of both resource variables over time for all young people.

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)0.002
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 score0.633
Threshold uncertainty score0.738

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.063
GPT teacher head0.337
Teacher spread0.273 · 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

Citations13
Published2008
Admission routes2
Has abstractyes

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