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Record W2765704063 · doi:10.1177/1077801217731540

After the Escape: Physical Abuse of Offspring, Posttraumatic Stress Disorder, and the Legacy of Political Violence in the DPRK

2017· article· en· W2765704063 on OpenAlexaff
Clifton R. Emery, Jieun Yoo, Amia Lieblich, Randall Hansen

Bibliographic record

VenueViolence Against Women · 2017
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Toronto
FundersHebrew University of JerusalemYonsei UniversitySocial Science Research Council
KeywordsOffspringAlcohol abuseMediationPoison controlPolitical violenceSuicide preventionPhysical abusePsychiatryPsychologyPosttraumatic stressInjury preventionPoliticsHuman factors and ergonomicsClinical psychologyDomestic violenceMedicineMedical emergencyPolitical sciencePregnancyLaw

Abstract

fetched live from OpenAlex

What is the relationship between victimization by political violence against women in North Korea and later physical abuse of offspring? This article examines the relationships between victimization by political violence, posttraumatic stress disorder (PTSD), alcohol abuse/dependence, and abuse of offspring after arrival in South Korea. A random sample of 204 female North Korean defectors was used to test hypotheses. An oral history conducted with a survivor of North Korean political violence is provided in an appendix to contextualize the results. Analyses established a significant link between previous victimization by political violence and abuse of offspring but not mediation by either PTSD or alcohol abuse/dependence.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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

Citations15
Published2017
Admission routes1
Has abstractyes

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