Effects of manipulating the amount of social-evaluative threat on the cortisol stress response in young healthy men.
Bibliographic record
Abstract
Perceived social-evaluative threat triggers the hypothalamic-pituitary adrenal (HPA) axis, resulting in cortisol release. The current study examined the effects of varying the levels of social-evaluative threat on the stress response. Sixty healthy men (mean age + 23.17 +/- 3.89 years) underwent a public speaking task. Four conditions were established on the basis of panel location (inside or outside the room) and number of panelists (one or two). It was hypothesized that these variations affect salivary cortisol and physiological responses in a gradient manner. The task elicited significant cortisol and blood pressure changes for all conditions, but no difference between the groups was found, suggesting that all conditions were equally stressful. Study conclusions were that, for men, the visual presence of a panel is not necessary to elicit a cortisol response. Furthermore, increasing the number of judges does not increase the intensity of the stress response in a gradual manner, but rather seems to follow a threshold pattern. Future studies should include women and try to define the possible threshold to activate the HPA axis.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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".