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Neither ‘Public’ nor ‘Private’, ‘National’ nor ‘International’: Transnational Corporate Governance from a Legal Pluralist Perspective

2011· article· en· W3122158359 on OpenAlex
Peer Zumbansen

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

VenueJournal of Law and Society · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsYork University
Fundersnot available
KeywordsPluralism (philosophy)Corporate governanceLegal pluralismLaw and economicsPolitical scienceGlobal governancePerspective (graphical)Context (archaeology)Financial crisisPublic administrationPositive economicsPolitical economySociologyEconomicsLawComparative lawEpistemologyLegal realismManagement

Abstract

fetched live from OpenAlex

This paper contends that the challenging nature of the regulation of global corporate conduct requires an adequately differentiated approach towards the identification and analysis of the norms in question. In part I, I review the context of ‘state intervention’ and ‘market self‐regulation’, in which the current discussion of regulatory responses to the economic/financial crisis and the role of self‐regulation occurs, before laying out the concept of ‘transnational legal pluralism’ in part II. In part III, I argue that an exemplary area such as corporate governance can best be understood as an instance of transnational legal pluralism, a field that becomes visible through a particular methodological lens. In part IV, I conclude by suggesting how the lessons of such a case study can contribute to an ongoing theoretical investigation into the nature of global regulatory governance, using the concept of ‘rough consensus and running code’.

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 categoriesInsufficient payload (model declined to judge)
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 score0.357
Threshold uncertainty score1.000

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)0.0010.000

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 head0.052
GPT teacher head0.230
Teacher spread0.177 · 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