Children’s use of majority information is influenced by pragmatic inferences and task domain.
Bibliographic record
Abstract
= 250) were given a choice between an object endorsed by a 3-person majority, or one endorsed by a single minority informant. Within each domain, there were 4 pragmatic conditions, each with modified testimony so that the majority either explicitly provided an opinion about or pragmatically implied their opinion about the alternative object chosen by the minority. In the unendorsed condition, informants explicitly unendorsed the unchosen object. In the implied condition, informants said nothing about the unchosen object. In the ignorance condition, informants explicitly expressed ignorance about the unchosen object, and in the hidden condition, the chosen object was the only one present at the time of the endorsement. We found that children were most likely to endorse the majority object in the unendorsed condition, in which the majority's opinion was explicitly stated, and least likely in the hidden condition, in which only one object at a time was present, with the other 2 conditions intermediate. Children's preference for majority testimony also depended on the task domain, with a stronger preference for the majority in the language task than causal task. Children might not simply have a majority bias; rather, they use majority information differently depending on the pragmatics and task demands. (PsycINFO Database Record (c) 2020 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".