Protected Areas and Intergovernmental Cooperation in the St. Elias Region
Bibliographic record
Abstract
Ecosystem-based management is now recognized as the central approach in protected area planning and management.However, objective analyses and assessments of the types of interagency partnerships and collaborative relationships necessaryfor successful implementation of such an approach are limited.This article provides a detailed description and analysis of cooperation occurring between government agencies in the St. Elias region of Alaska, Yukon, and British Columbia.Cooperation in the region is characterized using a relative scale based on formality and complexity.Generally, complex interagency cooperation is accompanied by formal agreements while informal agreements are most often used in situations with few actors or less pressing management issues.Despite having similar management goals and objectives based on preservation, as well as sharing a collective designation as a UNESCO World Heritage Site, cooperation and coordination of activities between the four primary protected areas in the region are largely limited to informal communicationparticularly across the international border.Factors that have acted to limit cooperation are examined and potential approaches for removing these barriers and expanding collaborative activities are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".