Encouraging movement opportunities through theory-informed video education among undergraduate students: the MOVE study
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".