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Record W2335442800 · doi:10.5840/beq20122213

Ethics, Enlightened Self-Interest, and the Corporate Responsibility to Respect Human Rights: A Critical Look at the Justificatory Foundations of the UN Framework

2012· article· en· W2335442800 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

VenueBusiness Ethics Quarterly · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsYork University
Fundersnot available
KeywordsHuman rightsObligationFoundation (evidence)Law and economicsCorporate social responsibilityShareholderBusinessPolitical scienceCorporate governanceLawEconomicsFinance

Abstract

fetched live from OpenAlex

ABSTRACT: Central to the United Nations Framework setting out the human rights responsibilities of corporations proposed by John Ruggie is the principle that corporations have a responsibility to respect human rights in their operations whether or not doing so is required by law and whether or not human rights laws are actively enforced. Ruggie proposes that corporations should respect this principle in their strategic management and day-to-day operations for reasons of corporate (enlightened) self-interest. This paper identifies this as a serious weakness and argues that identifying the responsibility to respect human rights as an explicitly ethical obligation to be respected for that reason would provide a much stronger justificatory foundation for respecting the principle seen from a corporate perspective, given that corporations are accountable to their shareholders for their deployment of the firm’s financial resources.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.100
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.102
GPT teacher head0.319
Teacher spread0.218 · 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