Intergroup Threat and the Linguistic Intergroup Bias: A Stress Biomarker Study
Bibliographic record
Abstract
This study investigates the physiological consequences of derogation. In the face of an ingroup threat, an opportunity to derogate the outgroup is associated with increases in salivary cortisol, a stress biomarker. These findings support the intergroup anxiety model, which suggests that following an anxiety-inducing threatening experience, outgroup evaluations can amplify emotional reactions and stress. In this study, we investigated whether threatened participants who derogated would show higher cortisol levels. Canadian undergraduates ( N = 169) read either a threatening or favourable passage about Canadians. They then engaged in either a linguistic intergroup bias (LIB) or control task. Salivary samples were collected prethreat, postthreat, and posttask. The results suggest that ingroup threat was associated with increases in cortisol levels. Threatened participants who displayed LIB showed higher cortisol levels than those who were threatened and did not show LIB. These findings illustrate the importance of incorporating a neuroscientific approach.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".