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Record W1997946647 · doi:10.3138/gsp.7.2/3.147

State-Induced Famine and Penal Starvation in North Korea

2012· article· en· W1997946647 on OpenAlexfundvenueno aff
Rhoda E. Howard-Hassmann

Bibliographic record

VenueGenocide Studies and Prevention · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsnot available
FundersCanada Research ChairsWilfrid Laurier University
KeywordsFamineGenocideStarvationPopulationState (computer science)StatutePrisonCriminologyPolitical scienceLawCrimes against humanityPrison populationInternational lawSociologyWar crimeMedicineDemography

Abstract

fetched live from OpenAlex

This article discusses North Korea as a case of state-induced famine, or faminogenesis. A famine from 1994 to 2000 killed 3–5% of North Korea’s population, and mass hunger reappeared in 2010–2012, despite reforms meant to address the shortage of food. In addition, a prison population of about 200,000 people is systematically deprived of food; this might be considered penal starvation. There seems little recourse under international law to punish the perpetrators of state-induced famine and penal starvation. State-induced famine does, however, fit some of the criteria of genocide in the United Nations Convention against Genocide, and could also be considered a crime against humanity under the Rome Statute of the International Criminal Court. There would seem, then, to have been a case for referral of North Korea’s recently deceased leader, Kim Jong Il, to the International Criminal Court, and it is still a case for referral of Kim’s successors. However, strategic concerns about North Korea’s nuclear weapons outweigh humanitarian concerns about North Korea’s citizens.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.882

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 science0.0000.000
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 head0.072
GPT teacher head0.345
Teacher spread0.273 · 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

Citations5
Published2012
Admission routes2
Has abstractyes

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