OTHER‐REGARDING BEHAVIOR AND BEHAVIORAL FORECASTS: FEMALES VERSUS MALES AS INDIVIDUALS AND AS GROUP REPRESENTATIVES
Bibliographic record
Abstract
Using a dictator game, we examine the other‐regarding behavior of allocators, who are given the responsibility of unilaterally making an allocation decision without consultation on behalf of a two‐person group between their group and another group. We then contrast the behavior of the same individuals in an analogous interindividual situation. We also explore other‐regarding perceptions of passive recipients, who are asked to give behavioral forecasts of how they would behave if assigned the allocator role and how they think their allocators would behave. Gender differences are found in both behavior and perceptions. Males are significantly more self‐interested and less other‐regarding when they are responsible for a group, while females behave similarly under both conditions. Female recipients' forecasts of their own behavior are significantly higher than both their expectations of allocators and the actual female behavior observed in the experiment. Both male and female recipients underestimate the other‐regarding behavior of allocators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".