Children’s Judgments of Epistemic and Moral Agents: From Situations to Intentions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Children's evaluations of moral and epistemic agents crucially depend on their discerning that an agent's actions were performed intentionally. Here we argue that children's epistemic and moral judgments reveal practices of forgiveness and blame, trust and mistrust, and objection or disapproval and that such practices are supported by children's monitoring of the situational constraints on agents. Inherent in such practices is the understanding that agents are responsible for actions performed under certain conditions but not others. We discuss a range of situational constraints on children's early epistemic and moral evaluations and clarify how these situational constraints serve to support children's identification of intentional actions. By monitoring the situation, children distinguish intentional from less intentional action and selectively hold epistemic and moral agents accountable. We argue that these findings inform psychological and philosophical theorizing about attributions of moral and epistemic agency and responsibility.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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