MétaCan
Menu
Back to cohort
Record W1958852812 · doi:10.1111/chso.12139

Do As I Say and Not As I Think: Parent Socialisation of Lie‐Telling Behaviour

2015· article· en· W1958852812 on OpenAlexaff
Jennifer Lavoie, Karissa Leduc, Angela M. Crossman, Victoria Talwar

Bibliographic record

VenueChildren & Society · 2015
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsUniversité du Québec à MontréalMcGill University
FundersJohn Jay College of Criminal JusticeNational Science Foundation
KeywordsLyingPsychologyDevelopmental psychologyDistressSocial psychologyPsychotherapistMedicine

Abstract

fetched live from OpenAlex

This study explored parent (N = 146) perspectives about situations in which they think it is acceptable to lie, how this corresponds to how they socialise their children about lie‐telling and their children's actual behaviour. Results indicated the methods parents report using to teach their children about the acceptability of lie‐telling are consistent with what they report teaching their children about lie‐telling overall. Also, the frequency of lies that children told (N = 88) to protect themselves from psychological distress or conflict differed between those who were taught that lying is sometimes acceptable versus those taught it is never acceptable.

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)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.054
GPT teacher head0.351
Teacher spread0.297 · 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

Citations57
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueChildren & SocietySame topicDeception detection and forensic psychologyFrench-language works237,207