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Record W39317578

Beyond 'Fairness': Understanding the Determinants of International Criminal Procedure

2009· article· en· W39317578 on OpenAlexaff
Frédéric Megret

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsMcGill University
Fundersnot available
KeywordsFraming (construction)Criminal procedureHuman rightsInternational lawPolitical scienceLawCriminal justiceLaw and economicsCriminal lawSociologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This article seeks to explore what makes international criminal procedure what it is. Rather than simply assessing its fairness in a decontextualised fashion, it proposes a realist and parsimonious explanation of the determinants of international criminal procedure. Two paradigms are contrasted and both found to provide only limited explanation. One is the idea that the main driving force behind the development of procedure before international criminal tribunals is the confrontation of the common law accusatorial and the romano-germanic inquisitorial traditions. Although clearly that confrontation has helped frame the problem, it is not solvable on its own terms, and ultimately too embedded in assumptions each tradition makes about what defines the “right” procedure. The other paradigm is the idea that international criminal procedure is first and foremost an attempt to strive for the fairest possible procedure under the guidance of international human rights standards. Although again this is seen as having some framing value, international human rights law is itself too under-determinative of the issue to be conclusive in all but a few cases. The article then turns to a model described as international criminal procedure’s process of “becoming international”. International criminal tribunals have developed an international criminal procedure that is both adapted to the constraints imposed by their international environment, and the goals and values of international criminal justice. This process is identified as by far the most relevant in identifying the dynamics of international criminal procedure.

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)0.018
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0070.048
Scholarly communication0.0140.017
Open science0.0020.010
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.311
Teacher spread0.288 · 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 designTheoretical or conceptual
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

Citations74
Published2009
Admission routes1
Has abstractyes

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