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Record W4404413842 · doi:10.1080/07448481.2024.2427055

Encouraging movement opportunities through theory-informed video education among undergraduate students: the MOVE study

2024· article· en· W4404413842 on OpenAlexaffabout
Carmen T. Labadie, Nia Contini, Varsha Vasudevan, Matthew Bourke, Shauna M. Burke, Patricia Tucker, Jennifer D. Irwin

Bibliographic record

VenueJournal of American College Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsChildren’s Health Research InstituteLawson Health Research InstituteWestern University
Fundersnot available
KeywordsPsychologyMovement (music)Medical educationCollege healthMedicineNursing

Abstract

fetched live from OpenAlex

Objective: To explore the impact of a theory-informed educational video on undergraduates’: motivational readiness, self-efficacy, and decisional balance about changing sedentary time; sedentary time; and perceptions of sedentarism over time and compared to a control. Participants: Undergraduates (N = 160) from a Canadian institution. Methods: A single-blind randomized controlled trial using an intervention (sedentary video) and control (sleep video) group. Participants completed two validated questionnaires at baseline, immediate post-intervention, and one-month follow-up plus open-ended questions. Linear mixed models and content analysis were used. Results: No significant differences were observed between groups. Increases in self-efficacy (p = .016; d = 0.27) and decisional balance (p = .008; d = 0.31) were observed within intervention participants from baseline to post-intervention, and decreases in sedentary time at post-intervention (p = .032; d = −0.40) and follow-up (p = .006; d = −0.46). Conclusions: This theory-informed sedentary time video shows promise regarding undergraduates’ sedentarism.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.091
GPT teacher head0.500
Teacher spread0.408 · 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 designQualitative
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

Citations0
Published2024
Admission routes2
Has abstractyes

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