Stress reactivity during evaluation by the opposite sex: comparison of responses induced by different psychosocial stress tests
Bibliographic record
Abstract

 
 
 It is becoming increasingly difficult for researchers to continue their high rates of publication when funding budgets are running tighter than ever. It is therefore in a researcher’s best interest to utilize more economical tests whenever possible. This project aims to compare various stress tests in order to determine whether the new, cost-efficient Maastricht Acute Stress Test (MAST) activates a physiological and subjective stress response with the same effectiveness as pre-existing, more resource-intensive tests. This study demonstrated that the MAST produces a response similar to that of the previously predominant Trier Social Stress Test (TSST). Meanwhile, database data shows that the purely physiological Cold Pressor Task (CPT) lags behind in terms of response elicited. These findings may allow for a more cost-efficient yet highly effective stress task to become available to researchers.
 
 
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".