MétaCan
Menu
Back to cohort
Record W3096759419

International Law and Theories of Global Justice

2020· article· en· W3096759419 on OpenAlexaff
Steven R. Ratner, David Luban, Carmen E. Pavel, Jiewuh Song, James Stewart

Bibliographic record

VenueeYLS (Yale Law School) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInternational lawEconomic JusticePolitical scienceLawGlobal justicePublic international lawInternational courtValue (mathematics)SociologyLaw and economics
DOInot available

Abstract

fetched live from OpenAlex

International law informs, and is informed by, concerns for global justice. Yet the two fields that engage most with prescribing the normative structure of the world order – international law and the philosophy of global justice – have tended to work on parallel tracks. Many international lawyers, with their commitment to formal sources, regard considerations of substantive (and not merely procedural) justice as ultra vires for much of their work. Philosophers of global justice, in turn, tend to explore the moral commitments of international actors without grappling with the international legal doctrine or institutions. In recent years, however, both disciplines have begun to engage with one another more. This discussion among international lawyers and philosophers addresses the promises of and challenges to interdisciplinary approaches to global justice. The contributors consider the added value of philosophical inquiry to issues facing international law practitioners or scholars, the salience of of international law for political philosophy, and the methodological distinctions between the two fields. The contributors also identify promising lines and examples of interdisciplinary scholarship.

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)0.006
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 score0.015
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0060.041
Scholarly communication0.0150.013
Open science0.0020.007
Research integrity0.0070.008
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 head0.016
GPT teacher head0.290
Teacher spread0.273 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueeYLS (Yale Law School)Same topicInternational Law and Human RightsFrench-language works237,207