Savvy or Haphazard? Comparing Preschoolers’ Performance Across Selective Learning Tasks Based on Different Epistemic Indicators
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 frequently select learning sources based on epistemic cues, or cues pertaining to informants’ knowledge. Previous research has shown that preschoolers preferentially learn from informants who have been accurate in the past, appear confident, or have had visual access to relevant information. The present series of studies aimed to investigate the relation between these 3 types of epistemic selective learning abilities in 176 children ages 3 years to 6 years. Results indicated that children’s performance was mostly uncorrelated across the different selective learning tasks and tasks measuring theory of mind and executive function were not found to predict any selective learning skills. Implications for the reliability and current conceptual understanding of these selective learning tasks are discussed.
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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) | 0.000 | 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) | 0.000 | 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 it