Effects of manipulating the amount of social-evaluative threat on the cortisol stress response in young healthy women
Bibliographic record
Abstract
Psychological stress is known to activate the hypothalamic-pituitary-adrenal axis, resulting in the release of cortisol from the adrenal cortex into the bloodstream. Cortisol is the major human stress hormone and its health correlates continue to be investigated by laboratories around the world. One line of research suggests that specific situational variables play a role in the creation of a stressful situation. The current study examined the effects of systematically varying several situational characteristics on the cortisol stress response in 80 healthy young women exposed to a public speaking task. Three main factors and its interactions were investigated by locating the expert panel either inside or outside of the room, having the subjects speak either about themselves or somebody else, and by asking half of the subjects to perform a distractor task in addition to performing the public speaking. We interpreted these manipulations as variations of social evaluative threat, ego-involvement, and divided attention. We hypothesized that the variations and their interactions would cause differences in endocrine stress responses. The results showed that only the manipulation of social-evaluative threat had a significant main effect on the cortisol stress response in women. There was a further trend (p = 0.07) for a four-way interaction effect. No other main or interaction effects could be observed. We conclude that in women, social-evaluative threat affects the endocrine stress response. This is in contrast to a previous study showing no effects of this variation in men. Thus, future studies should more closely investigate sex or gender effects that might be interacting with the situational aspects of a stressful task.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".