The role of sex and gender socialization in stress reactivity.
Bibliographic record
Abstract
Individual health is determined by a myriad of factors. Interestingly, simply being male or female is one such factor that carries profound implications for one's well-being. Intriguing differences between men and women have been observed with respect to vulnerability to and prevalence of particular illnesses. The activity of the major stress hormone axis in humans, the hypothalamus-pituitary-adrenal axis, is directly and indirectly associated with the onset and propagation of these conditions. Previous studies have shown differences between men and women at the level of stress hormone regulation, suggesting that the metabolic effects of stress may be related to susceptibility for stress-related disease. While the majority of studies have suggested that biological differences are responsible, few have also considered the role of gender socialization. In this selective review, the authors summarize evidence on sex differences and highlight some recent results from endocrinological, developmental, and neuroimaging studies that suggest an important role of gender socialization on the metabolic effects of stress. Finally, a model is proposed that integrates these specific findings, highlighting gender socialization and stress responsivity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".