The UNESCO Biosphere Reserve Program in Australia: constraints and opportunities for localized sustainable development
Bibliographic record
Abstract
Since their creation under the auspices of the United Nations Educational, Scientific and Cultural Organization (UNESCO) Man and the Biosphere (MAB) Program in 1976, biosphere reserves have provided an international framework for linking protected areas with their associated working landscapes. In Australia, twelve biosphere reserves were added to the World Network between 1977 and 1982. That initial flurry of activity has been followed by twenty‐five years of limited interest and development in biosphere reserves in this country, although evidence suggests that new energies are being directed to it. After sketching the origins of the biosphere reserve concept and its central tenets, we explore those environmental, cultural and institutional factors that may be promoting renewed interest in the program. We then review the initial implementation and current status of the Australian Biosphere Reserve Program. Factors supporting the limited success that exists in the program in Australia are highlighted, and the new form of biosphere reserve is illustrated with reference to Australia's recent and only urban biosphere reserve, at the Mornington Peninsula, in the state of Victoria. We speculate that prospects for biosphere reserves in Australia are brighter because of the provision for biosphere reserves under the Commonwealth of Australia's Environment Protection and Biodiversity Conservation Act (DEH 1999), the conceptual relevance of the biosphere reserve to bioregional and catchment management more generally and the continued success of existing model biosphere reserves.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".