Identity and the Self‐Reinforcing Effects of Norm Compliance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When making political and economic decisions (e.g., voting, donating money to a cause), individuals consider the expectations of groups with which they identify. These expectations are injunctive norms, shared beliefs about appropriate behavior for identity group members, and individuals' choices reflect trade‐offs between adherence to these norms and other preferences. We show that when those who identify moderately/strongly with the group pay a cost as a consequence of avoiding a norm violation, they subsequently view the norms as stronger than those that paid no cost. This is evident in their greater willingness to pay an additional cost to punish/reward other group members for violating/complying with the norm. They also view other norms associated with the identity as stronger. In this way, costly norm compliance may be self‐reinforcing.
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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 | 0.000 | 0.000 |
| 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 it