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Record W2334829607 · doi:10.1037/fam0000040

Parent and adolescent intentions to disclose and links to positive social behavior.

2014· article· en· W2334829607 on OpenAlexfundno aff
Maria Paula Chaparro, Joan E. Grusec

Bibliographic record

VenueJournal of Family Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProsocial behaviorPsychologyCompliance (psychology)Developmental psychologyDistressSelf-disclosureSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

Children's disclosure to parents as a buffer against antisocial behavior, and its parenting antecedents, have been extensively studied in recent years. The influence of parents' own disclosure on children's disclosure and positive social behavior has received little attention, however. We assessed mothers' (n = 149), fathers' (n= 105), and 12- to 14-year-old early adolescents' (n = 127) intentions to disclose about distress-related events and rule transgressions, their reasons for disclosing, and links to positive social behavior (assessed by mothers' ratings of willing compliance and by teachers' [n = 114] ratings of prosocial behavior). Parents reported that they disclosed to teach lessons or to encourage their children to disclose, whereas adolescents said they disclosed for comfort and advice. Child intention to disclose about distressing events mediated between mother (but not father) intention to disclose about these same issues and children's willing compliance, but not prosocial behavior in the classroom. Parent and child disclosure about rule transgressions were not related.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.363
Teacher spread0.316 · 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

Citations31
Published2014
Admission routes1
Has abstractyes

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