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Record W2110658561 · doi:10.1017/s0922156511000653

The End of ‘Modes of Liability’ for International Crimes

2012· article· en· W2110658561 on OpenAlexaff
James Stewart

Bibliographic record

VenueLeiden Journal of International Law · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComplicityPolitical scienceLawLegal doctrineDoctrineLiabilityCriminal lawHuman rightsLaw and economicsSociology

Abstract

fetched live from OpenAlex

Abstract Modes of liability, such as ordering, instigation, superior responsibility, and joint criminal liability, are arguably the most-discussed topics in modern international criminal justice. In recent years, a wide range of scholars have rebuked some of these modes of liability for compromising basic concepts in liberal notions of blame attribution, thereby reducing international defendants to mere instruments for the promotion of wider sociopolitical objectives. Critics attribute this willingness to depart from orthodox concepts of criminal responsibility to international forces, be they interpretative styles typical of human rights or aspirations associated with transitional justice. Strangely, however, complicity has avoided these criticisms entirely, even though it, too, fails the tests international criminal lawyers use as benchmarks in the deconstruction of other modes. Moreover, the source of complicity's departures from basic principles is not international as previously suggested – it stems from international criminal law's emulation of objectionable domestic criminal doctrine. If, instead of inheriting the dark sides of domestic criminal law, we apply international scholars’ criticisms across all modes of liability, complicity disintegrates (as do all other modes of liability) into a broader notion of perpetration. A unitary theory could also attach to all prosecutions for international crimes, both international and domestic, transcending the long-endured fixation on modes of liability within the discipline.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.008
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.031
Scholarly communication0.0080.009
Open science0.0010.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.348
Teacher spread0.321 · 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

Citations15
Published2012
Admission routes1
Has abstractyes

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