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Record W2766813085 · doi:10.1123/rsj.2016-0021

Moderating Effects of Campus Recreation Participation in the Relationship between Grade Point Average and First-Year Student Engagement: An Exploratory Study

2017· article· en· W2766813085 on OpenAlexaff
Rebecca Mayers, Austin Wade Wilson, Luke R. Potwarka

Bibliographic record

VenueRecreational Sports Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRecreationStudent engagementPsychologyExploratory researchMedical educationPedagogySociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Health and student success outcomes are often thought to be associated with campus recreation participation. Thus, decision makers at the university level are interested in the relationship between campus recreation participation, grade point average (GPA), and student engagement. Previous research has called for a clearer understanding of how campus recreation is meaningful for first-year university students and its potential influences on GPA. This study explored the influence of first-year students' campus recreation participation, GPA, and facets of student engagement. First-year university students ( N = 171) were surveyed. Demographic characteristics, GPA, and level of engagement on five scales were assessed. Results showed that GPA positively influenced those who participated in campus recreation on four facets of engagement. Results may help academic administrators to target efforts toward making the transition from high school to university easier. Promoting campus recreation participation may be effective for strengthening students' level of engagement and result in positive success outcomes.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.109
GPT teacher head0.450
Teacher spread0.342 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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