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Record W2737327318 · doi:10.1017/s2398772300009090

Divided We Stand? The AD HOC Tribunals and the CEE Region

2016· article· en· W2737327318 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAJIL Unbound · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSecurity councilPolitical scienceCriminal courtLawEconomic JusticeQuarter (Canadian coin)Criminal justiceCriminologyInternational lawSociologyPoliticsHistory

Abstract

fetched live from OpenAlex

After WWII, countries of Central and Eastern Europe (CEE) actively backed the establishment of the military tribunals in Nuremberg and Tokyo. In the early 1990s, when the International Criminal Tribunals for the Former Yugoslavia (ICTY) and for Rwanda (ICTR) were created by the UN Security Council, the CEE countries again lent uniform, albeit largely rhetorical support to these institutions. A quarter of a century later, this uniformity seems to be gone. While the CEE countries continue to express belief in international criminal justice, they no longer agree with each other on whether this justice has actually been served by the ad hoc tribunals. The diverging views on the achievements of the ICTY and ICTR might also partly account for the differences in the approach to the permanent International Criminal Court (ICC), though the grounds for these differences are more complex.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.034
GPT teacher head0.292
Teacher spread0.258 · 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