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Record W4307358134 · doi:10.1163/15718069-bja10079

Justice and Negotiation: Themes and Directions

2022· article· en· W4307358134 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Negotiation · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsInternational Institute for Sustainable Development
Fundersnot available
KeywordsNegotiationSalience (neuroscience)ScholarshipEconomic JusticeDistributive justiceSociologyProcedural justiceMoralitySocial psychologyLaw and economicsPolitical scienceEpistemologyLawPsychologySocial sciencePerception

Abstract

fetched live from OpenAlex

Abstract This article examines how justice concerns arise during various stages of negotiation with attention paid to contending principles of procedural, distributive, and transitional justice. We review key themes raised by contributors to this special issue. The themes reveal that justice has many facets and surfaces in many contexts. The facets include the role played by voice, the utility of universal definitions of justice, the use of morality arguments, the salience of the equality principle, and the challenges of complex negotiating forums. The contexts vary from single to multiple case analyses. Looking forward, we suggest a number of issues for further research. These include the voice versus exit debate, culturally-sensitive definitions of justice, different forms taken by equality, and how best to develop the skills needed for implementing justice principles. These are a sampling of the issues that pave the way for future scholarship on the role of justice in negotiation.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.987

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.325
Teacher spread0.293 · 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