Psychosocial Stress Evoked by a Virtual Audience: Relation to Neuroendocrine Activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A modified version of the Trier Social Stress Test (TSST) was employed to determine whether exposure to a virtual audience using virtual reality (VR) technology would prompt an increase of neuroendocrine activity comparable to that prompted by a real audience. Following an anticipatory period, participants completed a speech or a speech-plus-math challenge in front of either a virtual audience, a panel of judges they were led to believe was behind a one-way mirror, or an audience comprised of confederates. An additional group that had prepared a speech was simply directed to observe the virtual audience but did not deliver the speech. Finally, a control group completed questionnaires for the duration of the experiment. Cortisol samples were obtained upon arrival to the laboratory, just before the challenge, and 15 and 30 minutes after the task. Participants also completed a measure assessing stressor appraisals of the task before and after the challenge. Anticipation of the task was associated with a modest increase of cortisol levels, and a further rise of cortisol was evident in response to the challenge. The neuroendocrine changes evoked by the virtual audience were comparable to those elicited by the imagined audience (behind the one-way mirror) but less than changes evoked by the panel of confederates. Stressor appraisals were higher post-challenge compared to those reported prior to the task; however, appraisals were similar across each group. These data suggest that VR technology may be amenable to evaluating the impact of psychosocial stressors such as the TSST.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it