The Intersections of Public Rights and Private Rules: An Analysis of Human Rights in Forestry and Fisheries Certification Standards
Bibliographic record
Abstract
Abstract This article systematically evaluates whether, how, and to what extent twelve prominent forestry and fisheries certification schemes address human rights in their standards. In line with the broader cross-fertilization of the fields of international human rights and environmental law and policy, our results demonstrate that human rights norms and considerations – primarily Indigenous, labour, and procedural rights – are increasingly reflected in the rulemaking of these schemes. At the same time, our analysis also demonstrates the mixed and underwhelming performance of certification standards in protecting human rights norms, including those relating to women, children, racialized and ethnic minorities, persons with disabilities, Indigenous peoples, workers, 2SLGBTQIA+ communities, and peasants and rural peoples. Through descriptive statistics, we also show that levels of human rights adherence vary significantly across schemes and that standards developed in the forestry sector tend to outperform those for fisheries. Our methodology and results add a new dimension to efforts to assess the stringency, equity, and legitimacy of private authority in the environmental 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".