What not to wear: Revealing exercise attire and evaluative threat activate the cortisol response
Bibliographic record
Abstract
Social self preservation theory asserts that situations high in evaluative threat elicit increases in cortisol, a hormone released by the hypothalamic-pituitary-adrenal (HPA) axis. Most tests of the theory have examined the effects of performance evaluative threat on the cortisol response. This experiment examined the effects of physique evaluative threat on the cortisol response. Participants (n= 40; M age = 22.2 years) provided three salivary cortisol samples during a pre-manipulation rest period. They then put on a revealing exercise outfit and were randomly allocated to an evaluative threat (experimental) or non-evaluative (control) condition before providing a fourth cortisol sample. As hypothesized, the experimental condition had higher baseline-adjusted, post-manipulation cortisol levels than controls, F (1, 33) = 5.46, p = .026, d = .81. Self-reported evaluative threat was unrelated to salivary cortisol (B = -.01, p = .92). These results suggest that exercise and other situations that elicit physique evaluative threat can activate the cortisol response. Clearly, the consequences of physique evaluative threat extend beyond the psychological. Acknowledgments: Research supported by a SSHRC RDI grant.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".