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Record W2007074194 · doi:10.1002/acp.832

Five years later: children's memory for medical emergencies

2001· article· en· W2007074194 on OpenAlexafffund
Carole Peterson, Nikki Whalen

Bibliographic record

VenueApplied Cognitive Psychology · 2001
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRecallPsychologyAmnesiaChildhood amnesiaInjury preventionEvent (particle physics)Poison controlDevelopmental psychologyMedical recordPsychiatryCognitionMedical emergencyEpisodic memoryMedicineCognitive psychologyChildhood memory

Abstract

fetched live from OpenAlex

Abstract Children who had been 2–13 years of age at the time of a medical emergency (an injury serious enough to require hospital ER treatment) were re‐interviewed about their injury and treatment five years after injury, and three years after a previous interview. The children showed excellent recall of the central components of their injury experience, although their recall of hospital treatment was more incomplete. Thus, both the nature of the event being recalled (the injury versus the hospital treatment) and the centrality of information (central versus peripheral) were important. The recall of 2‐year‐olds, although not as good as that of children just a year older, did not fit with predictions of infantile amnesia since they recalled a considerable amount about their injury. High stress levels at the time of the target experiences had little effect on the highly memorable injury event, but seemed to facilitate children's recall of central components of the hospital event—the event that they had a harder time remembering. Implications for eyewitness testimony are discussed. Copyright © 2001 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.

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)0.008
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
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 science0.0000.001
Research integrity0.0010.001
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 head0.032
GPT teacher head0.338
Teacher spread0.306 · 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

Citations166
Published2001
Admission routes2
Has abstractyes

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