Research priorities for the northern quoll (Dasyurus hallucatus) in the Pilbara region of Western Australia
Bibliographic record
Abstract
The Pilbara population of the northern quoll (Dasyurus hallucatus) has been seldom studied, and the impacts of threats such as altered fire regimes, total grazing pressure, predation and mining and infrastructure development are not well understood. While the Pilbara was once thought likely to provide refuge for northern quolls from the poisonous cane toad (Rhinella marina), recent modelling suggests that cane toads will invade the region. The environmental approvals process for mining development in the Pilbara has generated considerable offset funds that are to be directed towards research on the northern quoll. In an effort to identify future research priorities for this species in the Pilbara through a collaborative process, the Western Australian Department of Parks and Wildlife hosted a workshop attended by scientists, environmental consultants, mining proponents and state and federal regulators. Participants at the workshop identified five key areas for future research effort: (1) develop appropriate and standardised survey and monitoring methods; (2) define areas of critical habitat and better understand how disturbance affects habitat quality; (3) improve our understanding of population dynamics; (4) better understand the key threats to the northern quoll and the interactions between these threats in the Pilbara; and (5) determine whether the northern quoll will colonise restored areas or artificial habitat. We provide the expected timelines and current allocation of resources to these research priorities over the next 10 years. We reflect on the lessons learnt from the workshop process and consider ways to improve the outcomes of such collaborative exercises.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".