What children recall about a repeated event when one instance is different from the others.
Bibliographic record
Abstract
This research examined whether a memorable and unexpected change (deviation details) presented during 1 instance of a repeated event facilitated children's memory for that instance and whether a repeated event facilitated children's memory for deviation details. In Experiments 1 and 2, 8-year-olds (N = 167) watched 1 or 4 live magic shows. Children were interviewed about the last or only show, which did or did not contain deviation details. Children reported more accurate information about the instance when deviation details were presented than when they were not, but repeated experience did not improve memory for deviation details. In Experiment 3, children (N = 145; 6- to 11-year-olds) participated in 4 magic shows and answered questions about each one. Deviation details were manipulated such that they caused a change in how the show was experienced (continuous) or had no such effect on the rest of the show (discrete). Younger, but not older, children's recall of all instances improved when a continuous deviation occurred compared to no deviation. Implications for how deviation details are represented in memory, as well as forensic applications of the findings, are discussed. (PsycINFO Database Record
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".