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Record W2263833554 · doi:10.1002/bsl.2210

Adults’ Detection of Deception in Children: Effect of Coaching and Age for Children's True and Fabricated Reports of Injuries

2015· article· en· W2263833554 on OpenAlexaff
Kelly L. Warren, Aishah Bakhtiar, Brent Sylvester Mulrooney, Graham Raynor, Elyse Dodd, Carole Peterson

Bibliographic record

VenueBehavioral Sciences & the Law · 2015
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDeceptionCoachingLie detectionPsychologySuicide preventionInjury preventionHuman factors and ergonomicsPoison controlDevelopmental psychologyMedicineSocial psychologyMedical emergencyPsychotherapist

Abstract

fetched live from OpenAlex

A total of 1,074 undergraduates judged the truthfulness of children's interviews (from verbatim transcripts) about experiencing injuries serious enough to require hospital emergency room treatment. Ninety-six children (three age groups: 5-7, 8-10, and 11-14 years, 50% girls) were interviewed. At each age, 16 children told truthful accounts of actual injury experiences and 16 fabricated their reports, with half of each group coached by parents for the previous 4 days. Lies by 5- to 7-year-olds, whether coached or not, were detected at above-chance levels. In contrast, 8- to 10-year-olds' accounts that were coached, whether true or not, were more likely to be believed. For 11- to 14-year-olds, adults were less likely to accurately judge lies if they were coached. The believability of children aged 8 or above who were coached to lie is particularly disturbing in light of the finding that participants were more confident in the accuracy of their veracity decisions when judging coached reports.

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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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 teacher head, 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

Citations8
Published2015
Admission routes1
Has abstractyes

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