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Record W6987057520

Seeking Historical Truth: the International\nCommission of Inquiry into the 1932-33\nFamine in Ukraine

2001· article· en· W6987057520 on OpenAlexaff

Bibliographic record

VenueeYLS (Yale Law School) · 2001
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsMcGill University
Fundersnot available
KeywordsUnanimityCommissionGenocideFamineUkrainianPublic opinionAryan raceHuman rights
DOInot available

Abstract

fetched live from OpenAlex

In the 1980s the WCFU (World Congress of Free Ukrainians) undertook many initiatives to "educate" Western public opinion on the Ukrainian Famine of 1932- 33, claiming that the famine was a Soviet act of genocide against the Ukrainian people. The WCFU sponsored an international commission of enquiry, composed of seven eminent international jurists, and appeared before the commission as plaintiff. The Commission dealt with a number of controversial issues in international law, including the question of whether the charge of genocide could predate the 1948 convention. The Commission deliberations are examined in detail, frequently with the use of unpublished sources from the archives of one of the commissioners, John Peters Humphrey. The Final Report (1990) lacked unanimity and created very sharp divisions among the Commission's members.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0170.011
Scholarly communication0.0120.005
Open science0.0010.005
Research integrity0.0040.006
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 head0.017
GPT teacher head0.239
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2001
Admission routes1
Has abstractyes

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