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Record W2034281361 · doi:10.1080/09658211.2010.508749

Children dating childhood memories

2010· article· en· W2034281361 on OpenAlexaffabout
Qi Wang, Carole Peterson, Yubo Hou

Bibliographic record

VenueMemory · 2010
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTelescoping seriesPsychologyFluencyChildhood amnesiaDevelopmental psychologyChildhood memoryEpisodic memoryCognition

Abstract

fetched live from OpenAlex

How accurate are children when dating very long-term memories? Chinese and European Canadian 8-, 11-, and 14-year-olds (N=344) recalled and dated memories from before they went to school in a memory fluency task. Parents provided verification of children's memories and age estimates. Across all age and culture groups, a telescoping effect (i.e., events were dated as taking place more recently than they actually did) was found for earlier memories (before 48 months) and a reverse telescoping effect for later memories (after 48 months). Older children showed a greater tendency to telescope earlier memories and a weaker tendency to reverse telescope later memories than did younger children. Euro-Canadian children showed larger reverse telescoping than Chinese children. These are the first systematic findings concerning the accuracy of children's dating of very long-term memories. They shed new light on the phenomenon of telescoping and have implications for research on childhood amnesia.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.280
Teacher spread0.271 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2010
Admission routes2
Has abstractyes

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