The Relation between Information and Heterogeneous Ability in Joint Projects - An experimental Analysis -
Why this work is in the frame
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Bibliographic record
Abstract
We study voluntary contribution behavior of individuals who vary in their ability to contribute to a joint project under different information scenarios. We investigate a situation with two types who vary only in their external marginal return (low and high). Results of a laboratory experiment suggest that, when group members are not aware of the heterogeneity in their group, both types make the same nominal contributions. When agents are informed about the heterogeneity, contributions increase but differently by type. High types contribute only more with sufficient social exposure, i.e., when information on the type of the contributor is available. Low types, on the other hand, contribute only more when they are aware of the distribution of types, but have no information on the type of the contributor.
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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 | 0.009 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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