Is an International Corporate Human Rights liability framework needed? An Economic Power, Business and Human Rights, and American Extraterritorial Jurisdiction analysis
Bibliographic record
Abstract
All companies, regardless of the sector they belong to, can positively or negatively impact human rights. Governments are increasingly aware of the benefits that free trade brings their nations, which has led them to do whatever is necessaryto attract foreign investment, even if it means to act against the interests of their own people. The power relationship between corporations and states generates a tension derived from their nature: while the objective of states is the welfare ofits members, the purpose of corporations is profit. It is in the crack generated by the collision of powers and purposes between these two actors, that this article is intended to raise the discussion on the need to establish an international framework for corporate liability for human rights violations. To achieve its goal, the article will analyze the opportunities and obstacles raised by the exercise of extraterritorial jurisdiction in the American context and its relationship with the developments in the business and human rights field.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".