Understanding Public Support for Indigenous Natural Resource Management in Northern Australia
Bibliographic record
Abstract
Increased interest in indigenous-led natural resource management (NRM) on traditionally owned land in northern Australia has raised important questions in relation to policies that compensate indigenous Australians for providing environmental services.A choice experiment survey was mailed out to respondents across the whole of Australia to assess if and to what extent Australian people think that society benefits from these services and how much they would pay for them.More than half the respondents would in principle support indigenous NRM in northern Australia, with a high willingness to pay for carbon, biodiversity, and recreational services.Social aspects of indigenous NRM, however, were not valued by the society, emphasizing the need for awareness raising and clarifications of benefits that indigenous people gain while carrying out land management on their traditional country.Any marketing campaign should take into account preference variation across Australian society, which this research shows is substantial, particularly between people from the north and those from the south.People from the south were more likely to support indigenous NRM, a significant finding for campaigns targeting potential donors.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".