Neural Maturity of Encoding States Supports Gains to Memory Precision in Childhood
Bibliographic record
Abstract
Despite substantial improvements to memory precision in childhood, the neural mechanisms underlying these changes remain unclear. Here, 40 children (7-9 years; 22 females, 18 males; majority White) and 42 adults (24-35 years; 22 females, 20 males; majority White) modulated their approaches to memory formation-focusing on the specific details to encourage precision or general category to encourage imprecision. Children and adults alike formed more precise memories under the specific task, yet adults' neural states were more cohesive as a group than were children's. Moreover, children's adoption of an adult-like neural approach explained age-related gains in memory precision (β = 0.08). Development unfolds as children-initially varying in their memory control-eventually adopt an adult-like approach that benefits memory precision around age 9.
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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 | 0.001 |
| 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 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".