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Record W4324141148 · doi:10.1111/lasr.12643

What makes an international institution work for labor activists? Shaping international law through strategic litigation

2023· article· en· W4324141148 on OpenAlex
Filiz Kahraman

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

VenueLaw & Society Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Toronto
FundersUniversity of WashingtonNational Science Foundation
KeywordsLawPolitical scienceInstitutionJurisprudenceInternational lawMobilizationSociology

Abstract

fetched live from OpenAlex

Abstract Studies on international legal mobilization often analyze the mobilization efforts of activists at a single international court. Yet we know little about how activists choose among multiple international institutions to advance social justice claims. Drawing on comparative case studies of Turkish and British trade union activists' legal mobilization efforts and case law analysis, I show that activists, guided by their lawyers, probe multiple avenues to identify the legal institution with the highest judicial authority and is most responsive to activists' claims. Once they identify their target institution, the iterative process between a responsive court and activists' strategic litigation can build a court's jurisprudence in a new issue area, even if the court provides limited de jure rights protections. Activists primarily use international litigation strategy to leverage structural reforms at the domestic level and to set new international norms through precedents.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.523

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 studies0.0000.000
Scholarly communication0.0000.002
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 head0.167
GPT teacher head0.335
Teacher spread0.168 · 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