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Record W4244648992 · doi:10.1017/cbo9780511619465

The Work of Global Justice

2007· book· en· W4244648992 on OpenAlexaff
Fuyuki Kurasawa

Bibliographic record

VenueCambridge University Press eBooks · 2007
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsCognitive reframingHuman rightsCosmopolitanismSolidarityGlobalizationWitnessSociologyGlobal justicePoliticsPolitical scienceConstruct (python library)Environmental ethicsDutyLaw and economicsLawSocial psychology

Abstract

fetched live from OpenAlex

Human rights have been generally understood as juridical products, organizational outcomes or abstract principles that are realized through formal means such as passing laws, creating institutions or formulating ideals. In this book, Fuyuki Kurasawa argues that we must reverse this 'top-down' focus by examining how groups and persons struggling against global injustices construct and enact human rights through five transnational forms of ethico-political practice: bearing witness, forgiveness, foresight, aid and solidarity. From these, he develops a new perspective highlighting the difficult social labour that constitutes the substance of what global justice is and ought to be, thereby reframing the terms of debates about human rights and providing the outlines of a critical cosmopolitanism centred around emancipatory struggles for an alternative globalization.

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)0.003
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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.040
Scholarly communication0.0110.009
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.029
GPT teacher head0.196
Teacher spread0.167 · 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

Citations129
Published2007
Admission routes1
Has abstractyes

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