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Record W3014801812 · doi:10.1080/07448481.2020.1740230

Physical activity information seeking among emerging adults attending university

2020· article· en· W3014801812 on OpenAlexaffabout
Elaine Ori, Tanya R. Berry

Bibliographic record

VenueJournal of American College Health · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth promotionInformation seekingMedicinePhysical activityFamily medicineHealth informationGerontologyCollege healthInformation seeking behaviorPsychologyDemographyPublic healthPhysical therapyNursingHealth careLibrary science

Abstract

fetched live from OpenAlex

Objective To assess preferred sources of information for seeking physical activity (PA), and how PA information seeking may contribute to participation in a campus PA program. Participants: Students attending a large, Western Canadian university between April 2015 and April 2018. Methods: Secondary analysis of an annual campus-wide survey. Results: Students sought PA information for general health. Females sought information about weight loss for appearances; males sought information for muscle gain for appearance. Internet and friends were primary sources of PA information. Regression analysis indicated females 2.49 (95% CI 1.98–3.13), domestic students 2.86, 95% CI (2.04–4.02), and first year students 24.88, 95% CI (18.12–34.17) were most likely to participate in a campus PA program. Only health reasons significantly contributed to participation 1.42, 95% CI (1.06–1.89). Conclusions: Emerging adults attending university may benefit from PA promotion that makes use of their preferred information sources.

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 score0.748
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.298
Teacher spread0.277 · 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

Citations10
Published2020
Admission routes2
Has abstractyes

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