Children use common knowledge to solve coordination problems.
Bibliographic record
Abstract
= 133) from the United States were more likely to attempt to coordinate when they had common knowledge about a joint payoff. Participants saw 3 vignettes that modeled the structure of a 2-player coordination problem and were provided with common knowledge, secondary knowledge, or private knowledge about the mutually beneficial, but risky, joint payoff. By 6 years of age, participants were more likely to attempt to coordinate when they had common knowledge than secondary knowledge, and secondary knowledge than private knowledge. Participants were also most likely to expect the other player to coordinate, and were most certain in their predictions, when there was common knowledge. Results indicate that, by middle childhood, children are able to solve coordination problems by relying on common knowledge, in part because it likely increases their certainty in others' cooperative behavior. Overall, findings suggest that common knowledge is an important cognitive mechanism for coordinating behavior and that it does so by reducing uncertainty about others' cooperative behavior. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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; both teacher heads agree on what is shown here.
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".