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Record W2166047359 · doi:10.1002/acp.1653

The development of metasuggestibility in children

2010· article· en· W2166047359 on OpenAlexaff
Kamala London, Maggie Bruck, Debra Ann Poole, Laura Melnyk

Bibliographic record

VenueApplied Cognitive Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsAllegationPsychologyDevelopmental psychologyWitnessChild developmentPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Abstract One component of metasuggestibility is the understanding that a person's statements can influence another person's reports. The purpose of the present study was to examine the development of this understanding in school‐aged children. We produced a short video in which a boy makes a false allegation about being hit following an adult's suggestive interview. Children aged 6–13 years (N = 196) watched the video and answered open‐ended and forced‐choice questions about why the boy made a false allegation. The 6‐ and 7‐year‐olds performed poorly on all question types, whereas the 12‐ and 13‐year‐olds were at ceiling. There were developmental increases in metasuggestibility between 8 and 11 years. Our findings indicate that metasuggestibility undergoes prolonged development well into the school years. Implications for child witness training programs are discussed. Copyright © 2010 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)0.002
metaresearch head score (Gemma)0.013
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.353
Teacher spread0.332 · 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

Citations14
Published2010
Admission routes1
Has abstractyes

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