The psychobiology of trait shame in young women: Extending the social self preservation theory.
Bibliographic record
Abstract
OBJECTIVE: The social self preservation theory (SSPT) proposes that social evaluative threat evokes the emotion of shame, which then shapes a coordinated psychobiological response. While this is supported in acute stress studies, there is no data on chronic experiences of shame. DESIGN: We investigated the association of trait shame with activity of the hypothalamic-pituitary-adrenal (HPA) axis, of the sympathetic nervous system (SNS), and regulation of inflammation in n = 56 young women. MAIN OUTCOME MEASURES: Daily profiles of salivary cortisol and alpha-amylase were assessed as indices of HPA axis and SNS activity, respectively. Inflammatory regulation was assessed by lipopolysaccharide-stimulated production and glucocorticoid inhibition of interleukin-6 in vitro. RESULTS: Trait shame was associated with SNS (r = .49; p = .001), but not HPA activity (r = .14; ns). Shame was associated with inflammatory activity (r = .35; p = .006) and glucocorticoid sensitivity (r = -0.43; p = .001). Relationships were not mediated by HPA and SNS activity. CONCLUSIONS: Results support SSPT predictions with respect to chronic shame experience and inflammation. Results further suggest the importance of SNS activation related to shame, and the possibility that HPA activation may be limited acute experiences of shame.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".