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Record W4316127325 · doi:10.1111/desc.13370

Longitudinal associations between impulsivity and lie‐telling in childhood and adolescence

2023· article· en· W4316127325 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.

Bibliographic record

VenueDevelopmental Science · 2023
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsBrock University
Fundersnot available
KeywordsImpulsivityPsychologyCheatingDeceptionDevelopmental psychologyLie detectionLongitudinal studyBarratt Impulsiveness ScaleLyingSocial psychology

Abstract

fetched live from OpenAlex

Abstract Lie‐telling and impulsivity levels peak during late childhood to early adolescence and have been suggested to be related. Heightened impulsivity may lead adolescents to lie in favor of short‐term benefits without consideration for the potential consequences of deception. The present study assessed longitudinal relations between self‐reported impulsivity and lie‐telling frequency. Participants from a large‐scale longitudinal study ( N = 1148; M age = 11.55, SD = 1.69, 9–15 years at Time 1) reported on their impulsivity (Barratt Impulsiveness Scale) and their frequency of lie‐telling to parents, to teachers, to friends, and about cheating across two time points 1 year apart. Cross‐lagged path analysis revealed greater impulsivity was associated with more frequent lie‐telling to parents, friends, and teachers, and about cheating over time. Our findings demonstrate the role of impulsivity in the development of lie‐telling behaviors. Research Highlights Impulsivity predicts lying across time in multiple contexts (to parents, friends, teachers, and about cheating). Previous research has demonstrated the role of top‐down influences on lie‐telling, but the current study suggests that bottom‐up processes are also influential.

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)0.001
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 score0.076
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.336
Teacher spread0.296 · 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