Revisiting corporate violations of human rights in Nigeria's Niger Delta region: Canvassing the potential role of the International Criminal Court
Bibliographic record
Abstract
The international community awakened to the bitter reality of the failure of traditional international legal system to anticipate and embrace non-state actors at the early conceptualisation of their norms. This reality relates to the fact that transnational corporations that often wreak havoc in host states appear to be outside the ambit of international law, and therefore beyond its control. However, since the last two decades, governments and international business organisations have attempted to develop initiatives to fill the perceived gap. At the same time, the academic community has engaged in a discourse about the appropriate legal framework that may be deployed to ensure that transnational corporations are confined within a defined scope of international human rights obligations. Focusing on Africa, particularly on the oil-rich Niger Delta region of Nigeria, the article aims to engage in the debate. It takes a nuanced approach to the issue, and argues that an extension of the International Criminal Court's jurisdiction to transnational corporations is imperative. This would be a meaningful way of ensuring respect and compliance with human rights obligations by transnational corporations.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| 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".