Effective Biodiversity Conservation Requires Dynamic, Pluralistic, Partnership-Based Approaches
Bibliographic record
Abstract
Biodiversity loss undermines the long-term maintenance of ecosystem functions and the well-being of human populations. Global-scale policy initiatives, including the Convention on Biological Diversity, have failed to curb the loss of biodiversity. This failure has led to contentious debates over alternative solutions that represent opposing visions of value-orientations and policy tools at the heart of conservation action. We review these debates and argue that they impede conservation progress by wasting time and resources, overlooking common goals, failing to recognize the need for diverse solutions, and ignoring the central question of who should be involved in the conservation process. Breaking with the polarizing debates, we argue that biocultural approaches to conservation can guide progress toward just and sustainable conservation solutions. We provide examples of the central principles of biocultural conservation, which emphasize the need for pluralistic, partnership-based, and dynamic approaches to conservation.
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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 | 0.036 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.055 |
| Scholarly communication | 0.026 | 0.022 |
| Open science | 0.003 | 0.025 |
| Research integrity | 0.007 | 0.008 |
| 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".