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Record W2770759519 · doi:10.1007/s11572-017-9450-9

Right, Crime, and Court: Toward a Unifying Political Conception of International Law

2017· article· en· W2770759519 on OpenAlexfundno aff
Alain Zysset

Bibliographic record

VenueCriminal Law and Philosophy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
FundersUniversitetet i OsloYork University
KeywordsNormativeLawAdjudicationPoliticsPhilosophy of lawPolitical scienceInternational lawCriminal lawSalientSubject (documents)SociologyLaw and economicsState (computer science)Comparative law

Abstract

fetched live from OpenAlex

It is widely acknowledged that human rights law (hereafter, HRL) and international criminal law (hereafter, ICL) share core normative features. Yet, the literature has not yet reconstructed this underlying basis in a systematic way. In this contribution, I lay down the basis of such an account. I first identify a similar tension between a “moral” and a “political” approach to the normative foundations of those norms and to the legitimate role of international courts (hereafter, ICs) and tribunals adjudicating those norms. With a view to bring the debate forward, I then turn to the practices of HRL and international criminal law (hereafter, ICL) to examine which of those approaches best illuminates some salient aspects of the adjudication of ICs. Finally, I argue that the political approach best explains the practice. While each preserves a distinct role, HRL and ICL both establish the basic conditions for the primary subject of international law (HRL and ICL, for the purpose of this article), namely the state, to legitimately govern its own subjects constructed as free and equal moral agents.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.070
GPT teacher head0.351
Teacher spread0.281 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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