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Record W4414108706 · doi:10.1080/07448481.2025.2555600

School activity participation and sense of belonging among U.S. college students

2025· article· en· W4414108706 on OpenAlexaff
Tracy Dearth‐Wesley, Allison N. Herman, Robert C. Whitaker

Bibliographic record

VenueJournal of American College Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsColumbia College
Fundersnot available
KeywordsRace (biology)Physical activitySocial activitySense of communityGrade levelEthnic group

Abstract

fetched live from OpenAlex

Objective: To determine whether activity participation is associated with a greater sense of belonging among U.S. college students. Participants: Cross-sectional survey data from the 2023–2024 Healthy Minds Study (n = 27,965 students [148 institutions]). Methods: Students reported participation in 18 activities, which were grouped into four categories: academic/major, athletic/dance, service/identity, and social. Participation was assessed by any activity, activity type, category, and number of activity categories (diversity). Belonging scores were compared between participants and non-participants and across subgroups for three student characteristics: gender identity, race and ethnicity, and first-generation status. Results: Belonging scores were significantly (p < .001) higher for participants than non-participants for any activity, 16 of 18 activity types, all activity categories, and with greater activity diversity. Activity participation was positively associated with belonging across all student subgroups (p < .005). Conclusions: Activity participation was associated with greater belonging across a range of activity types and categories and with greater activity diversity.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.381
Teacher spread0.365 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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