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Record W2142421489 · doi:10.1123/rsj.31.2.83

Using past Campus Recreational Sports Participation to Explain Current Physical Activity Levels of Alumni

2007· article· en· W2142421489 on OpenAlexaff
Scott Forrester, Craig M. Ross, Stacey Hall, Chris A. Geary

Bibliographic record

VenueRecreational Sports Journal · 2007
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsBrock University
Fundersnot available
KeywordsRecreationPhysical activityPsychologyQuality (philosophy)GerontologyMedical educationApplied psychologyMedicinePhysical therapyPolitical science

Abstract

fetched live from OpenAlex

The purpose of this pilot study was to examine the role of past recreational sports involvement during the college years in explaining current physical activity patterns in college alumni. Subjects ( n = 311) completed a mailed questionnaire about their current physical activity levels and past campus recreational sports participation that measured (1) the breadth, depth, and quality of past recreational sports involvement and (2) the current level of exercise or physical activity. Overall, the results of the study revealed that over 77% of the respondents agreed that their involvement in recreational sports during college positively influenced their current physical activity levels. Increasing both the depth and breadth of physical activity for students while in college, and more importantly, beyond the college years, is an important goal for campus recreational sports programs.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.098
GPT teacher head0.425
Teacher spread0.328 · 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.

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

Citations17
Published2007
Admission routes1
Has abstractyes

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