Breaking the rules: Do infants have a true understanding of false belief?
Bibliographic record
Abstract
It has been suggested that infants' performance on the false belief task can be explained by the use of behavioural rules. To test this hypothesis, 18-month-old infants were trained to learn the new rule that an object that disappeared in location A could be found in location B. Infants were then administered a false belief task based on the violation of expectation (VOE) paradigm, an intention understanding task, and a modified detour-reaching task. Results revealed that infants looked significantly longer at the display when the experimenter looked for the toy in the full box (box with the toy) compared to infants who observed the experimenter search in the empty box (box without the toy). Results also revealed significant correlations between infants' looking time at the display and their scores on the intention task and on the detour-reaching task. Taken together, these findings suggest that infants possess an implicit understanding of false belief. In addition, they challenge the view that success on the implicit false belief task does not require executive functioning abilities.
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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 | 0.002 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".