What’s in a Message? Effects of Mental Fatigue and Message Framing on Motivation for Physical Activity
Bibliographic record
Abstract
Many adults worldwide do not meet current physical activity (PA) guidelines. Mental fatigue decreases the likelihood of choosing to engage in PA. Message framing may enhance PA motivation when fatigued. We examined the effects of mental fatigue and message framing on PA motivation with additional focus on the messaging "congruency effect." Three hundred and twenty undergraduates completed measures of dispositional motivational orientation and were exposed to either gain-framed or loss-framed messages before completing an effort discounting questionnaire. Results showed lower motivation to engage in PA of higher intensities and longer durations. Direct effects of message framing on PA motivation were not significant. Interaction effects revealed that participants receiving messages congruent with their dominant motivational orientation showed increased motivation for light-intensity PA and decreased motivation for vigorous-intensity PA as mental fatigue increased. Findings suggest that providing messages congruent with one's dominant motivational orientation may increase motivation for engaging in light-intensity PA when fatigued.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".