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Record W2015452774 · doi:10.2466/pms.105.4.1257-1264

Symptoms of Exercise Dependence and Physical Activity in Students

2007· article· en· W2015452774 on OpenAlexaff
Vance V. MacLaren, Lisa A. Best

Bibliographic record

VenuePerceptual and Motor Skills · 2007
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyPhysical activityClinical psychologyPhysical exerciseDevelopmental psychologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

Health professionals recognize the benefits of moderate physical activity and encourage clients to engage in some form of activity on a regular basis. In spite of these recognized benefits, there are growing concerns that some may exercise at levels detrimental to health. The term exercise dependence refers to those individuals whose extreme exercise schedules interfere with their social, occupational, and family lives. The purpose of this study was to examine the relationship between weekly exercise habits and scores on the Exercise Dependence Questionnaire in a sample of undergraduate students (213 women and 79 men). Overall, participants who reported high activity scored higher than those reporting low activity on subscales measuring interference with family and social life, positive reward, withdrawal, exercise for social reasons, exercise for health reasons, and stereotyped behavior.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.337
Teacher spread0.319 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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