Blinded by trust in close others: Examining the effect of social closeness on cooperative behaviors during the COVID‐19 pandemic
Bibliographic record
Abstract
Abstract In the context of public health crises such as the COVID‐19 pandemic, it is essential that individuals cooperate by complying with preventive measures (e.g., wearing a mask). The current research examines how high trust in close others is linked to less cooperation—that is, less compliance with measures—and thus, undermines collective interests. Specifically, we test whether individuals are less willing to comply with preventive measures when interacting with close others they trust. We conducted two experiments in which participants read a vignette depicting a social interaction with either close others (e.g., family) or strangers. Participants had to report the extent to which they would (1) trust the other people in the situation and (2) comply with the mask wearing and physical distancing measures during this interaction. In both experiments, we find that when individuals are considering an interaction with close others, they report experiencing higher trust which is then linked to lower compliance with preventive measures. In Experiment 2, we further demonstrate that participants report less compliance with preventive measures around close others, even when they perceive non‐compliance with the measures as morally “wrong”. Our findings shed light on the challenges that compliance with preventive measures poses during social interactions in a context of high trust.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".