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Record W2066714643 · doi:10.1007/s10979-006-9083-3

Perceptions and predictors of children's credibility of a unique event and an instance of a repeated event.

2007· article· en· W2066714643 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLaw and Human Behavior · 2007
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsCredibilityPsychologySession (web analytics)Event (particle physics)PerceptionConsistency (knowledge bases)Developmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Perceptions of children's credibility were studied in two experiments wherein participants watched a videotape of a 4- to 5- or a 6- to 7-year old child report details of a play session that had been experienced once (single-event) or was the last in a series of four similar play sessions (repeat-event). The child's report was classified as high or low accurate. In Experiments 1 and 2, reports of repeat-event children were judged to be less believable on several measures. In Experiment 1, younger children were viewed as less credible than older children. In both experiments, neither undergraduates nor community members correctly discriminated between high- and low-accurate reports. Content analysis in Study 3 revealed the relationship between age and event frequency and children's credibility ratings was mediated by the internal consistency of children's reports. Recent research on children's reports of instances of repeated events has identified several challenges facing children who report repeated abuse. These data bring to light another potential difficulty for these children.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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