Norm Contestation in the BHR Field—The Role of Corporate Actors as Entrepreneurs, Antipreneurs, and Saboteurs
Bibliographic record
Abstract
Abstract The quest for corporate accountability remains unabated in the business and human rights (BHR) field. This paper examines the role of multinational corporations (MNCs) and Business Interest Associations (BIA) as entrepreneurs, antipreneurs and saboteurs in setting human rights standards. Through this conceptualization, this paper argues that corporate accountability remains elusive because of corporate actors’ normative power and influence in the BHR norm contestation. It attributes corporate actors’ influence in the norm contestation to the UN multistakeholder design that sees nonstate actors as partners and stakeholders in setting global human rights standards. This article then argues that to force a norm change in the BHR field, there is a need to rethink the BHR governance model. Corporate actors must be reconceptualized as ‘regulated individuals’ during norm discussions and standard-setting processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.078 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.084 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".