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Record W3193843245 · doi:10.1017/aju.2021.39

Corporate Actors as Translators in Transnational Lawmaking

2021· article· en· W3193843245 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

VenueAJIL Unbound · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLawmakingCorporate governanceInternational lawOrder (exchange)Political scienceInterpretation (philosophy)Process (computing)Soft lawGlobal governanceEthnographyPower (physics)SociologyHard lawLaw and economicsLawBusinessPoliticsEconomicsManagementLegislature

Abstract

fetched live from OpenAlex

International legal scholars have long been concerned with the transnational lawmaking process, including the development, interpretation, and implementation of international norms. Yet there has been insufficient attention devoted to the micro-level details by which international law operates. Anthropologists can shed unique insights to this process by uncovering power dynamics, disaggregating institutions and actors, and revealing local practices on the ground. In this essay, I will analyze global supply chain governance through an ethnographic lens in order to examine the role of corporate actors as translators of international law. I argue that an anthropological approach can illuminate how corporations shape international law in practice by uncovering technologies of governance, relations of power, and chains of translation in the transnational lawmaking process.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.038
GPT teacher head0.269
Teacher spread0.231 · 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