The Development of the Fluency Heuristic in Childhood: More Questions than Answers
Bibliographic record
Abstract
Imagine the challenges that a 3-year-old child’s memory faces compared to that of an adult: The world is less predictable and the vocabulary is less familiar. Typically developing 3-year-olds are just beginning to harness the vast power of human language, and 3-year-old’s memory skills are only beginning to develop into their adult forms. For instance, children’s working-memory capabilities have been demonstrated to increase as they mature (Siegel & Ryan, 1989). When compared with adult memory performance, young children demonstrate greater susceptibility to false memory formation in some circumstances (Ceci et al., 2007) and less susceptibility in others (Brainerd et al., 2008). Metacognitively, children are often less effective at generating and implementing helpful retrieval and encoding strategies than adults (Chi, 1978). In many ways, young children’s memories are quite different from adult memories.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".