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Record W2009624732 · doi:10.1080/15534510802280819

Parental physical activity as a moderator of the parental social influence – child physical activity relationship: A social control approach

2008· article· en· W2009624732 on OpenAlexaff
Kevin S. Spink, Shaelyn M. Strachan, Patrick Odnokon

Bibliographic record

VenueSocial Influence · 2008
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsModerationPsychologyDevelopmental psychologyDyadPhysical activityMultilevel modelSocial psychologySocial relation

Abstract

fetched live from OpenAlex

This study utilized a social control framework to assess whether parents' physical activity level moderated the relationship between parents' use of social influences and their children's physical activity level. Parents reported their personal and child's physical activity levels as well as the frequency with which they used various social control tactics in relation to their child's physical activity. A series of hierarchical regression analyses were used to determine if parental physical activity level interacted with use of parental tactics in predicting child physical activity levels. A significant interactive effect was found for parents' telling their child to be physically active and parental physical activity levels (t = −2.19, p<.03). Interpretation of the interaction revealed a significant negative relationship between parental telling and child physical activity for active parents, but not for less active parents. These findings were explained within a social control framework, and the suggestion was made that social control warrants future attention in helping to understand how social relationships influence health‐promoting behaviors such as physical activity within the parent–child dyad.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.396
Teacher spread0.332 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

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