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Record W2097651626 · doi:10.4337/jhre.2012.01.01

International law's invisible hand and the future of corporate accountability for violations of human rights

2012· article· en· W2097651626 on OpenAlexaff
Penelope Simons

Bibliographic record

VenueJournal of Human Rights and the Environment · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMultidisciplinary Warburg-centric Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsImpunityHuman rightsPolitical scienceCorporate governanceAccountabilityCommitGlobalizationInternational human rights lawGlobal governanceLawCorporate social responsibilitySoft lawLaw and economicsInternational lawSociologyManagementEconomics

Abstract

fetched live from OpenAlex

In May 2011, the United Nations Special Representative of the Secretary-General on the Issue of Human Rights and Transnational Corporations and other Business Enterprises (SRSG), Professor John G Ruggie, submitted to the Human Rights Council his ‘Guiding Principles on Business and Human Rights’ aimed at implementing his ‘Protect, Respect and Remedy’ policy framework. The Council unanimously adopted the Guiding Principles at its June 2011 session. Ruggie's work has been both welcomed and criticised and his Guiding Principles are likely to remain controversial. Apart from the SRSG's recommendation to the HRC to develop a process to clarify the legal obligations of business entities not to commit international crimes, his work on this issue did not include a recommendation that the future development of binding international obligations should be one of the goals of his policy framework and guiding principles. This article argues that Ruggie's approach to addressing corporate human rights impunity was misconceived. For Ruggie, ‘[t]he root cause of the business and human rights predicament today lies in the governance gaps created by globalization – between the scope and impact of economic forces and actors, and the capacity of societies to manage their adverse consequences’. It is argued here, however, that to address corporate impunity effectively, one cannot simply deal with the governance gaps alone. One must also identify and address the root causes of those gaps. This article contends that corporate human rights impunity is deeply embedded in the international legal system. It seeks to demonstrate the problems with the SRSG's approach by arguing that, along with the interventions of international financial institutions in the economies of developing states, one of the most significant impediments to corporate human rights accountability is the structure of the international legal system itself. The validity of this assertion is explored through an examination of the critiques of the international legal system by Third World Approaches to International Law (TWAIL) scholars, as well as insights drawn from feminist critiques of international law. It is argued that powerful states have used international law and international institutions to create a globalised legal environment which protects and facilitates corporate activity and, although the SRSG identified symptoms of this reality during his tenure, he did not examine the deep structural aspects of this problem. This article demonstrates that such an examination would have revealed the crucial need for binding international human rights obligations for business entities in any adequate strategy aimed at addressing corporate impunity. It concludes with some recommendations for developing such obligations incrementally.

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)0.056
metaresearch head score (Gemma)0.070
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: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0560.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0150.104
Scholarly communication0.0350.038
Open science0.0030.017
Research integrity0.0370.034
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.307
Teacher spread0.275 · 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
GenreEmpirical

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

Citations28
Published2012
Admission routes1
Has abstractyes

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