MétaCan
Menu
Back to cohort
Record W2566217102 · doi:10.1002/acp.3306

Children's Reasoning About Which Episode of a Repeated Event is Best Remembered

2016· article· en· W2566217102 on OpenAlex
Meaghan C. Danby, Sonja P. Brubacher, Stefanie J. Sharman, Martine B. Powell, Kim P. Roberts

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Cognitive Psychology · 2016
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPsychologyRecallMetamemoryDevelopmental psychologyTask (project management)Event (particle physics)CognitionCognitive psychologyPsychiatryMetacognition

Abstract

fetched live from OpenAlex

Summary Despite much research into children's ability to report information from an individual episode of a repeated event, their capacity to identify well‐remembered episodes is unknown. Children (n = 177) from Grades 1 to 3 participated in four episodes of a repeated event and were later asked to recall the time that they remembered ‘best’ and then ‘another time.’ Post‐recall, children were asked what they believed ‘the time you remember best’ meant, and how they decided which episode to recall. Older children were better able than younger to understand the prompt and nominate an episode, but children of all ages showed improved ability to produce an episode for discussion when subsequently asked about ‘another time.’ All children struggled to describe their decision‐making processes, suggesting that they had yet to develop sufficient metamemory knowledge for the task. Results suggest that children have difficulty explicitly identifying well‐remembered episodes of repeated events.Copyright © 2016 John Wiley & Sons, Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.031
GPT teacher head0.331
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it