Sensitizing the Behavioral-Immune System: The Power of Social Pain
Bibliographic record
Abstract
People who believe they are invulnerable to infectious diseases often fail to protect themselves against the disease threats that others pose to them. The current paper hypothesizes that social pain—the experience of feeling interpersonally hurt or rejected—can sensitize the behavioral-immune system by giving people added reason to see others as worthy of protecting themselves against. We obtained four daily diary samples involving 2,794 participants who reported how hurt/rejected they felt by those they knew, how personally concerned they were about the spread of illness/COVID-19, and how vigilantly they engaged in self-protective behaviors to safeguard their health each day. An integrative data analysis revealed robust evidence that people who believed they were invulnerable to infectious disease engaged in more concerted efforts to protect themselves against the greater daily risk of contracting COVID-19 when being in acute social pain gave them added reason to see others as harmful to them.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".