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Record W2180550965 · doi:10.1123/rsj.2015-0006

Affective Outcomes of Intramural Sport Participation

2015· article· en· W2180550965 on OpenAlexaffabout
Evan Webb, Scott Forrester

Bibliographic record

VenueRecreational Sports Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBrock UniversityUniversity of Ottawa
Fundersnot available
KeywordsAffect (linguistics)PsychologyMultivariate analysis of varianceHappinessOperationalizationSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

Participation in collegiate intramural sports provides numerous, positive psychological benefits for its participants. Benefits of participation in intramural programs include improved happiness and subjective well-being which can be operationalized as one's positive affective state. The purpose of this study was to determine the affective outcomes (positive and negative affect) of intramural sport participation in a collegiate setting. Students at a Canadian university ( N = 315) completed a questionnaire immediately following their participation in an intramural sport. Overall, and across all demographic variables, participants reported significantly higher levels of positive affect than negative affect, even for all levels of task- or ego-orientation (low, medium, and high). A MANOVA revealed significant differences between the three levels of task-orientation on positive affect but not negative affect. These results are promising indicators of students' continued sport participation on campus and later in life as intramural sport participants report experiencing significantly more positive affect than negative affect.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.042
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0060.000

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 head0.047
GPT teacher head0.357
Teacher spread0.310 · 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

Citations18
Published2015
Admission routes2
Has abstractyes

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