Group over need: Convergence in the influence of recipient characteristics on children's sharing in Iran and Canada
Bibliographic record
Abstract
Abstract Children are remarkably concerned with fairness, yet social evaluations often lead to partiality in fairness behavior. For instance, children share more generously with in‐group peers and allocate resources based on the material need of recipients. The goal of the present study was to examine how children developing in Canada and Iran privilege group status and recipient need when allocating resources. We assigned children (5–6 years of age) from Canada (n = 42) and Iran (N = 46) to teams using the minimal group paradigm and allowed them to allocate resources between themselves and recipients who varied in terms of need (high and low) and group status (in‐group and out‐group). No effect of recipient need was found in either society. In both societies, children were not impacted by need, but were more likely to give up a personal advantage and allocate resources equally with in‐group recipients. Our findings reveal convergence across diverse societies in the influence of in‐group bias on children's resource allocation decisions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".