Understanding stakeholder perspectives : the case of Mount Arrowsmith Massif Regional Park & the Mount Arrowsmith Biosphere Reserve
Bibliographic record
Abstract
Parks and protected areas are crucial for the health of the biosphere and long-term\nsustainability of the planet. However challenges these areas face include: there are\nsimply not enough of them, the existing ones are often too small and fragmented, and\nthere is not always public support for them. Regional parks are specific types of\nprotected areas that can help contribute to conservation and sustainability. The\neffectiveness of protected areas for conservation can be enhanced through a variety of\nstrategies such as “biosphere reserves”. This research looks at stakeholder perceptions\nregarding potential benefits of the Mount Arrowsmith Massif Regional Park and the\nimportance of the Mount Arrowsmith Biosphere Reserve Operating Framework. This\nstudy has contributed to the larger Protected Areas and Poverty Reduction (PAPR)\nresearch initiative as it discusses the flow of costs and benefits from protected areas and\nalternate forms of protected area governance.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".