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Record W2099287198 · doi:10.1017/s1744552314000020

Purpose-based or knowledge-based intention for collective wrongdoing in international criminal law?

2014· article· en· W2099287198 on OpenAlex
Kirsten J. Fisher

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Law in Context · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicWar, Ethics, and Justification
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCrimes against humanityGenocideWrongdoingCommitMens reaContext (archaeology)CommissionPolitical scienceLawCriminal lawCriminologyWar crimeMeaning (existential)International lawHumanitySociologyPsychologyHistory

Abstract

fetched live from OpenAlex

Abstract Due to the distinct nature of international crimes such as genocide and crimes against humanity originating out of and contributing to the pervasive collective character of mass atrocity, the appropriate mens rea for individual commission of these crimes is difficult to pin down. The mens rea for these international crimes has been deliberated, disputed and inconsistently applied, leaving what it means for individuals to intend to commit crimes of mass atrocity mired in confusion. This paper explores the meaning of intentional commission of collective crime, and demonstrates that from both philosophical and legal perspectives, acting intentionally in the context of mass atrocity can be interpreted in different ways, resulting in a condition of international criminal law which is at risk of unpredictability and expressive uncertainty. The paper endorses purpose-based, rather than knowledge-based, intent as the appropriate standard in the context of international crimes by arguing that mere knowledge of outcomes is insufficient.

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)0.001
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 score0.915
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.117
GPT teacher head0.341
Teacher spread0.224 · 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