The Theorized Relationship between Organizational (Non)Compliance with the United Nations Guiding Principles on Human Rights and Desired Employee Workplace Outcomes
Bibliographic record
Abstract
Despite the presence of guiding legislation such as the United Nations Guiding Principles, respect for human rights is subject to the conscience of organizational actors. Given that some transnational corporations are more powerful than nation states, they play an important role in the economies in which they operate, often with far-reaching impact on the labor conditions and human rights protections within these countries. In the current global context, respect for human rights may be undermined when organizational decision-makers are tempted to ignore unethical practices due to considerations such as competition and short-term financial incentives. We propose that the higher standards to which younger generations increasingly hold corporations provide a compelling and “business case” incentive for the protection of human rights of external stakeholders by organizational decision-makers. Drawing on related research on corporate social responsibility and on projections regarding demographical changes in the workplace worldwide, we make the case for a bottom-line advantage to respecting human rights in attracting and retaining top talent in work organizations. We conclude by highlighting the theoretical and practical implications of our theorizing.
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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 | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".