Bibliographic record
Abstract
Conflicts are likely less violent if individuals entertain the possibility \nthat the opponent may be right. \nWhy is it so difficult to observe this attitude? To answer this question, this paper studies information transmission from an informed principal (the parent) to a naive agent (the son). After being informed, the agent participates in a game of con \nict. The parent wants to motivate his son to exert effort in the conflict, but he also cares that the son has the right incentives to acquire information and that he selects the correct \npolicy. Finally, to study cultural transmission over time we consider a two-period OG economy where the son becomes a parent when he is old. \nUnder some conditions dogmatic attitudes are observed : individuals never doubt, conflicts are violent and bad decisions are made. We also argue that societies may find it difficult to abandon dogmatic attitudes over time. Under some other conditions, skeptical attitudes of systematic doubt are instead observed. However, we argue that in \nthe long-run parents may stop inducing skeptical attitudes: societies where individuals \nsystematically doubt are likely to switch to fact-based attitudes.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".