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Record W2600412610

Implicit and explicit outcome expectations for physical activity in older adolescents

2016· article· en· W2600412610 on OpenAlexaff
Kimberley McFadden, Tanya R. Berry, Tara-Leigh McHugh, Wendy M. Rodgers

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAutomaticityAssociation (psychology)PsychologyDevelopmental psychologyPhysical activitySocial cognitive theoryClinical psychologyCognitionMedicinePsychiatryPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Background: Adolescents' physical activity (PA) choices may involve reasoned thought, but also may be impulsive, with little reflection. Furthermore, the outcomes adolescents expect from PA (e.g. look good, have fun) can influence their impetus to engage in, or avoid, active pursuits. The purpose of this study was to explore older adolescents' reflective and impulsive thoughts about health- and social/appearance-related PA outcomes and investigate how those thoughts relate to their PA behaviour. Method: One hundred and thirty-seven undergraduate students (103 female; 34 male) aged 17-19 (M=18.12, SD=0.65) completed a Go/No-Go Association Task (GNAT; Nosek & Banaji, 2001) that assessed automaticity (via response times) of associations between PA words and either health outcomes (e.g. energetic, happy, strong) or social/appearance outcomes (e.g. thin, popular, muscular). Participants also completed questionnaires assessing PA behaviour, attitudes, outcome expectations, and physical self-perceptions. Results: Adolescents demonstrated a significant positive automatic association of PA with social/appearance outcomes, F(1,136)=4.403, p

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)0.003
metaresearch head score (Gemma)0.019
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 score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.100
GPT teacher head0.465
Teacher spread0.365 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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