The Protected Area Paradox and refugee species: The giant panda and baselines shifted towards conserving species in marginal habitats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Paradoxically, despite the growth in protected areas globally, many species remain threatened and continue to decline. Attempts to conserve species in suboptimal habitats (i.e., as refugee species) may in part explain this Protected Area Paradox. Refugee species yield poor conservation outcomes as they suffer lower densities and fitness. We suggest that the giant panda may serve as an iconic example, reflecting the contraction and shift in the giant panda's range, diet and habitat use over the past 3,500 years, coinciding with increasing human pressure, and now maintained by conservation efforts, this due to shifted baselines. The global bias of protected area location to less productive habitats indicates that this problem may be widespread. We urgently need efforts to identify victims of refugee species status to allow improved conservation management globally, reducing the paradoxical outcomes of our conservation efforts.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it