Exploring women's psychoneuroendocrine responses to cancer threat: insights from a computer-based guided imagery task.
Bibliographic record
Abstract
It is proposed that computers could be used to examine patients' subjective experience in the face of cancer threat. This study provides initial validation of a computer-based stress task by examining the psychological, autonomic, and endocrine aspects of an individual's subjective experience of cancer threat surrounding mammography screening. A repeated measures design was used. A total of 38 healthy women performed a stress task (pertaining to mammography) and a control task (pertaining to osteoporosis prevention) on separate days during which psychological, autonomic, and endocrine reactions were monitored. Compared with the control task, the stress task induced higher autonomic responses (skin conductance and heart rate variability) and endocrine responses (salivary cortisol) but not psychological distress. Further, both the autonomic (skin conductance) and endocrine responses to cancer threat were moderated by mastery, a trait known to have a stress-buffering effect. Yet such a moderating effect was not observed for psychological indices of stress--that is, mood. Implications for nursing research and interventions are discussed.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".