The role of interpersonal processes in shaping inflammatory responses to social-evaluative threat
Bibliographic record
Abstract
In response to social-evaluative threat induced in the laboratory, lower (compared to higher) subjective social class of a participant predicts greater increases in the inflammatory cytokine interleukin-6 (IL-6). In spite of the interpersonal nature of social-evaluation, little work has explored whether characteristics of the evaluator shape physiological responses in this context. In the current study, in a sample of 190 college students (male=66), we explored whether one's subjective social class interacts with the perceived social class of an evaluator to predict changes in Oral Mucosal Transudate (OMT) IL-6 in response to the Trier Social Stress Test (TSST). Participants were randomly assigned to be the speaker or the evaluator. Extending past work, we found that while speakers low in subjective social class consistently respond with strong increases in IL-6 regardless of their perception of their evaluator's social class, speakers high in subjective social class responded with greater increases in IL-6 when their evaluator was perceived as high social class compared to when they were perceived as low social class. This finding highlights the importance of perceptions of the evaluator in informing inflammatory responses to a social-evaluative task.
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How this classification was reachedexpand
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 | 0.005 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".