Priorities for protected area research
Bibliographic record
Abstract
A clearly defined geographical space, recognised, dedicated and managed, through legal or other effec ve means, to achieve the long-term conserva on of nature with associated ecosystem services and cultural values.The defini on is expanded by six management categories (one with a sub-division), summarized below.Ia Strict nature reserve: Strictly protected for biodiversity and also possibly geological/ geomorphological features, where human visita on, use and impacts are controlled and limited to ensure protec on of the conserva on values.Ib Wilderness area: Usually large unmodified or slightly modified areas, retaining their natural character and influence, without permanent or significant human habita on, protected and managed to preserve their natural condi on.II Na onal park: Large natural or near-natural areas protec ng large-scale ecological processes with characteris c species and ecosystems, which also have environmentally and culturally compa ble spiritual, scien fic, educa onal, recrea onal and visitor opportuni es.III Natural monument or feature: Areas set aside to protect a specific natural monument, which can be a landform, sea mount, marine cavern, geological feature such as a cave, or a living feature such as an ancient grove.IV Habitat/species management area: Areas to protect par cular species or habitats, where management reflects this priority.Many will need regular, ac ve interven ons to meet the needs of par cular species or habitats, but this is not a requirement of the category.V Protected landscape or seascape: Where the interac on of people and nature over me has produced a dis nct character with significant ecological, biological, cultural and scenic value: and where safeguarding the integrity of this interac on is vital to protec ng and sustaining the area and its associated nature conserva on and other values.VI Protected areas with sustainable use of natural resources: Areas which conserve ecosystems, together with associated cultural values and tradi onal natural resource management systems.Generally large, mainly in a natural condi on, with a propor on under sustainable natural resource management and where low-level non-industrial natural resource use compa ble with nature conserva on is seen as one of the main aims.The category should be based around the primary management objec ve(s), which should apply to at least three-quarters of the protected area -the 75 per cent rule.The management categories are applied with a typology of governance types -a descrip on of who holds authority and responsibility for the protected area.IUCN defines four governance types.Governance by government: Federal or na onal ministry/agency in charge; sub-na onal ministry/agency in charge; government-delegated management (e.g. to NGO) Shared governance: Collabora ve management (various degrees of influence); joint management (pluralist management board; transboundary management (various levels across interna onal borders)
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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 | 0.054 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.016 | 0.015 |
| Insufficient payload (model declined to judge) | 0.080 | 0.024 |
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".