Children's Understanding of Behavioral Consequences of Epistemic States: A Comparison of Knowledge, Ignorance, and False Belief
Bibliographic record
Abstract
The author addressed the issue of the simultaneity of false belief and knowledge understanding by investigating children's ability to predict the behavioral consequences of knowledge, ignorance, and false belief. The second aim of the study was to explore the role of counterfactuals in knowledge understanding. Ninety-nine (99) children, age 3-7 years old, completed the unexpected transfer task and a newly designed task in which a protagonist experienced 1 of the following 4 situations: knowing a fact, not knowing a fact, knowing a procedure, and not knowing a procedure. The results showed that factual ignorance was as difficult as false belief for the children, whereas the other conditions were all easier than false belief, suggesting that the well-known lag between ignorance and false belief may be partly methodologically based. The results provide support for a common underlying conceptual system for both knowing and believing, and evidence of the role of counterfactual reasoning in the development of epistemic state understanding. Methodological variations of the new task are proposed for future research.
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".