MétaCan
Menu
Back to cohort
Record W3134165162 · doi:10.1177/1359104521999762

Parental autonomy support in relation to preschool aged children’s behavior: Examining positive guidance, negative control, and responsiveness

2021· article· en· W3134165162 on OpenAlexafffund
Delane Linkiewich, Vincenza Va Martinovich, Christina M. Rinaldi, Nina Howe, Rebecca Gokiert

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsConcordia UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAutonomyDevelopmental psychologyPsychologyPersonal autonomySocial psychology

Abstract

fetched live from OpenAlex

This study evaluated the relationship between parental autonomy support and preschool-aged children’s display of autonomy. Specifically, we examined if mothers’ and fathers’ use of positive guidance, negative control, and responsiveness during parent-child interactions predicted children’s autonomous behavior. One hundred families comprised of mothers, fathers, and their children participated. Parent-child dyads were filmed engaging in an unstructured play task and interactions were coded using the Parent-Child Interaction System. Mothers’ use of negative control and father’s use of positive guidance, negative control, and responsiveness predicted children’s displays of autonomy, whereas mothers’ positive guidance and responsiveness did not. The results offer insight into how parents play unique roles in promoting their children’s autonomy, which has implications for practitioners and researchers who work with families. Our findings provide examples of behaviors that parents can employ to promote their children’s autonomy.

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)0.006
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
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 head0.027
GPT teacher head0.354
Teacher spread0.328 · 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

Citations20
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueClinical Child Psychology and PsychiatrySame topicChild and Adolescent Psychosocial and Emotional DevelopmentFrench-language works237,207