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Record W2621711949 · doi:10.1177/0165025417708342

Corporal punishment and adult antisocial behavior

2017· article· en· W2621711949 on OpenAlexaboutno aff
Cesar J. Rebellon, Murray A. Straus

Bibliographic record

VenueInternational Journal of Behavioral Development · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsCorporal punishmentPsychologyPunishment (psychology)SpankingDevelopmental psychologyAssociation (psychology)Human factors and ergonomicsInjury preventionYoung adultPoison controlChild disciplineSuicide preventionSocial psychologyMedicine

Abstract

fetched live from OpenAlex

A wealth of research suggests that youth whose parents use corporal punishment are more likely to engage in antisocial behavior during childhood and adolescence. Questions remain, however, about: (a) whether this relationship extends reliably to samples outside the US and Canada; (b) whether corporal punishment is associated with antisocial behavior in adulthood rather than just childhood and adolescence; (c) whether the association depends on which parents use corporal punishment; and (d) what theoretical mechanisms account for the link between corporal punishment and antisocial behavior. The present study uses data collected from young adults in Asia, Europe, and North America to address each of these issues. Net of statistical controls, including retrospective measures of childhood misbehavior and abusive parenting, findings reveal that antisocial behavior in all three regions is higher among young adults who report experiencing corporal punishment in childhood. Overall, this relationship is least likely to emerge when corporal punishment comes only from fathers and most likely to emerge when it comes from both parents. Further, results suggest that self-control and social concern, but not conventional attitudes, mediate a portion of the association between retrospective reports of childhood corporal punishment and antisocial behavior in early adulthood.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.762

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.382
Teacher spread0.329 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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