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Record W2594285414 · doi:10.1007/978-94-6265-171-5_3

Putting the Leaders of Mass Atrocity on Trial

2017· book-chapter· en· W2594285414 on OpenAlexaff
Cassandra Steer

Bibliographic record

VenueInternational criminal justice series · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsMcGill University
Fundersnot available
KeywordsCulpabilityPrinciple of legalityAccountabilityTransitional justiceCLARITYPolitical scienceEconomic JusticeLawFunction (biology)Norm (philosophy)Law and economicsCriminologyPsychologySociology

Abstract

fetched live from OpenAlex

There are multiple competing demands made of the international criminal justice project. It must be at once effective, just in terms of outcome, and fair towards defendants. Two sets of tensions created by these demands are discussed in this chapter. The first is the tension between efficacy and symbolism; the desire for an efficient system of prosecutions requires a clarity of goals, yet there are numerous and competing goals asserted by those with different interests, including victims, defendants, and transitional justice advocates. An overarching central goal of ‘increasing the public sense of accountability for mass atrocity’ is identified, coupled with the symbolic function of ICL as norm expression and history writing. Identifying leaders as independent actors in relation to mass atrocity crimes is more effective both with respect to the central goal and with respect to the expressive function of trials. The second set of tensions has to do with balancing fairness and justice, two core requirements of any criminal law system. The outcome of a trial must be fair to the defendant and just with respect to the victims’ interests and the crimes committed. Linked to these two notions are the limiting principles of legality and culpability. Their application lead to the conclusion that no-one should be held liable for actions over which they have no control, and that those with more control should be held to a higher standard of responsibility. Thus in ICL, focusing upon the leaders of mass atrocity as especially responsible is both warranted and necessary.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.464
Threshold uncertainty score0.999

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.105
GPT teacher head0.364
Teacher spread0.259 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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