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Record W2134596322 · doi:10.1123/rsj.32.2.87

Characteristics of Users and Nonusers of a Campus Recreation Center

2008· article· en· W2134596322 on OpenAlexfundno aff
Kim Miller, Melody Noland, Mary Kay Rayens, Ruth R. Staten

Bibliographic record

VenueRecreational Sports Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
FundersAGE-WELL
KeywordsRecreationFraternityPhysical activityPsychologyGerontologySample (material)Body mass indexCollege healthEnvironmental healthDemographyMedicineFamily medicinePhysical therapySociology

Abstract

fetched live from OpenAlex

College students' physical activity provides protection against weight gain and chronic disease. Convenient exercise facilities have been correlated with physical activity. This study examined use of a college recreational facility among a sample of undergraduates, personal and demographic factors related to facility use, and factors predictive of facility use. A sample of 1,700 undergraduates was randomly selected and mailed a survey about health behaviors and recreation-center use. Facility users were more likely to be freshman or sophomore unmarried men who live on campus. Users of the facility had a slightly lower average body mass index, yet were more likely to use alcohol. Significant predictors of facility use included sex, class standing, living situation, belonging to a fraternity or sorority, and the desire to change one's weight. This study contributes to the research on college students' physical activity in that it identifies those likely to use or not use the recreational facility.

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 score0.004
Threshold uncertainty score0.478

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 head0.020
GPT teacher head0.277
Teacher spread0.258 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

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