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Record W2007011002 · doi:10.1007/s12160-012-9368-3

Social Influence and Adolescent Health-Related Physical Activity in Structured and Unstructured Settings: Role of Channel and Type

2012· article· en· W2007011002 on OpenAlexaff
Kevin S. Spink, Kathleen Wilson, Jocelyn D Ulvick

Bibliographic record

VenueAnnals of Behavioral Medicine · 2012
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsConformityPhysical activityHealth psychologyPsychologyCompliance (psychology)Developmental psychologyPhysical activity levelSocial influenceClinical psychologySocial psychologyMedicinePublic healthPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Social influence channels (e.g., parents) and types (e.g., compliance) have each been related to physical activity independently, but little is known about how these two categories of influence may operate in combination. PURPOSE: This study examined the relationships between various combinations of social influence and physical activity among youth across structured and unstructured settings. METHODS: Adolescents (N=304), classified as high or low active, reported the social influence combinations they received for being active. RESULTS: Participants identified three channels and three types of influence associated with being active. For structured activity, compliance with peers and significant others predicted membership in the high active group (values of p< .001). In the unstructured setting, peer compliance (p= .009) and conformity (p= .019) were associated with active group membership. CONCLUSIONS: These findings reinforce considering both setting, as well as the channel/type combinations of social influence, when examining health-related physical activity.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.496

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 head0.104
GPT teacher head0.463
Teacher spread0.359 · 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

Citations16
Published2012
Admission routes1
Has abstractyes

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