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Record W3194783904 · doi:10.1177/15588661211036906

Intramural Sport Participation: An Examination of Participant Benefits, Service Quality, Program Satisfaction, and Student Retention

2021· article· en· W3194783904 on OpenAlexaffabout
Kevin Wilson, Patti Millar

Bibliographic record

VenueRecreational Sports Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of WindsorUniversity of Waterloo
Fundersnot available
KeywordsPsychologyMedical educationService qualityService-learningQuality (philosophy)Student engagementService (business)Applied psychologyMedicineMarketingPedagogyBusiness

Abstract

fetched live from OpenAlex

This study investigates whether the benefits of participation in, and perceived service quality of, an intramural sport program contribute to student retention and overall program satisfaction. Health and wellness outcomes, student learning outcomes, service quality, program satisfaction, and student retention in intramural programming were assessed at one Canadian university. The results reveal that participants experience physical, emotional, social and academic outcomes as a result of participation in intramural programming. The results also reveal that benefits of participation (physical health and wellness, emotional wellness, academic learning outcomes, social learning outcomes) and service quality are associated with greater student retention and program satisfaction. The results highlight the unique association between physical health and wellness benefits and student retention. The results also highlight the association between service quality, social and emotional wellness and program satisfaction among participants. Implications for practice and future research are presented.

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 score0.208
Threshold uncertainty score0.996

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)0.0050.000

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 head0.104
GPT teacher head0.404
Teacher spread0.300 · 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
Published2021
Admission routes2
Has abstractyes

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