Status quo effects in fairness games: reciprocal responses to acts of commission versus acts of omission
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
Abstract Both the law and culture distinguish between acts of commission that overturn the status quo and acts of omission that uphold it. This distinction is of central importance when it comes to reciprocal actions. A stylized fact of everyday life is that acts of commission elicit stronger reciprocal responses than do acts of omission. We report experiments that directly test whether this stylized fact characterizes behavior in controlled experiments. We compare reciprocal responses to both types of acts in experiments using binary, extensive form games. Across three experiments, we examine the robustness of our results to different ways in which the status quo can be induced in experiments. The data show a clear difference between effects of acts of commission and omission by first movers on reciprocal responses by second movers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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