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Record W3173037431 · doi:10.1017/9781108574846.004

Punishment and Reparation

2020· book-chapter· en· W3173037431 on OpenAlexaff
Miriam Cohen

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPunishment (psychology)PsychologyCriminologySocial psychology

Abstract

fetched live from OpenAlex

Chapter 1 provides an overview of different theories of justice and how they can inform the development of a civil dimension of international criminal law. This chapter also traces the evolution of different dichotomies of the legal duty to provide reparations and the right to reparation: from perspectives of state versus state, to state versus individual, to individual versus individual. It also outlines the development of a duty to repair for individual perpetrators alongside states’ duty to repair. This introductory chapter thus provides the theoretical foundation that supports the analysis in the following chapters and it sets out the main themes that are discussed throughout the book. This chapter also lays out and discusses some challenges and counterarguments to the inclusion of a reparative dimension to international criminal justice from a theoretical perspective. Finally, this chapter draws on the enlightening jurisprudence of the Inter-American Court of Human Rights.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.016
Scholarly communication0.0050.004
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.030
GPT teacher head0.233
Teacher spread0.203 · 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
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
Published2020
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicInternational Law and Human RightsFrench-language works237,207