Influence of Alexithymic Characteristics on Physiological and Subjective Stress Responses in Normal Individuals
Bibliographic record
Abstract
Individual differences in response to stress have been linked to the development of stress-related disorders through the presence of a dissociation between physiological and subjective stress responses. It has been suggested that the presence of alexithymic characteristics may constitute a new source of individual response differences and thereby contribute to the development of a stress-related disorder. However, it is also possible that the presence of alexithymic characteristics is simply a new name for a preexisting construct. The present study examined subjective and physiological stress response patterns in normal individuals with high or low presence of alexithymic characteristics, and the relationship between alexithymia and potentially equivalent constructs. The results revealed that the presence of alexithymic characteristics is independent of repression, trait anxiety, and social desirability. As well, high alexithymics appear to manifest high levels of sympathetic activity, and a dissociation between subjective and physiological stress responses. These results are discussed in terms of the potential contribution of alexithymic characteristics to the development of stress-related disorders.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".