The effects of relative performance information on subsequent cooperation
Bibliographic record
Abstract
Abstract Using two experiments, I examine the effects of relative performance information (RPI) on social bonding and subsequent cooperation. In Experiment 1, participants in groups of four first complete a more or less difficult individual math task and then participate in a public goods game. I find that RPI significantly increases contributions in the public goods game when group members exhibit similar performance levels in the individual task and when the task is more difficult. Conceptually, RPI in such a setting fosters social bonds by revealing a common challenge shared by group members. In scenario‐based Experiment 2, with performance level held constant, RPI strengthens social bonds when peers similarly miss a difficult target but not when they similarly surpass an easy target. Additionally, the inclusion of ranking information in RPI negatively impacts social bonding, regardless of target difficulty. While prior research predominantly examines RPI through the lens of social comparison, this study illustrates the conditions under which RPI can also foster social bonds and enhance subsequent cooperation.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".