Human Rights-Based Conservation: The Integral Role of Human Rights Director in the Conservation Sector
Bibliographic record
Abstract
Historically, many conservation organizations operated without a dedicated focus on human rights, lacking a systematic approach to ensure compliance with global human rights standards. This oversight led to practices that inadvertently disregarded fundamental human rights principles. Recognizing the pivotal role of communities and Indigenous rights in resource management, there has been a paradigm shift. Conservation organizations now acknowledge the need for a Human Rights Director, a role catalysing a community-centric approach and aligning initiatives with human rights principles. While this shift is in its early stages, it signifies a crucial step towards more responsible and sustainable conservation practices. The Human Rights Director, often underestimated, plays a vital role in navigating the delicate balance between biodiversity conservation and community well-being. This paper explores the responsibilities, challenges, and impact of individuals in this position, emphasizing their role as stewards of ethical practices and advocates for social justice. Through a comprehensive review, case studies and best practices, the paper sheds light on the intricate intersections of human rights and conservation. It underscores the indispensable contributions of Human Rights Directors and their teams to conscientious and sustainable conservation strategies. The discussion contributes to the broader discourse on the synergies between human rights advocacy and effective conservation, emphasizing the imperative for organizations to prioritize the creation of a Human Rights unit. This unit can empower teams to achieve socially responsible conservation outcomes, marking a transformative journey towards ethical conservation practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.024 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.020 | 0.022 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".