A review of progress of a research program for the endangered northern quoll (Dasyurus hallucatus) in the multi-use landscapes of the Pilbara
Bibliographic record
Abstract
Maximising conservation outcomes for threatened species in multi-use landscapes is likely to require a multi-stakeholder, coordinated approach that is tenure blind. Here, we conduct a review of a research program targeting the endangered northern quoll (Dasyurus hallucatus) in the Pilbara region of Western Australia; an area with a high concentration of mining and pastoral activities. To inform ongoing investment to support northern quoll conservation, we identify future directions that either add value to research already undertaken or are based on the original priorities that have not been addressed. The original program was developed using a collaborative process involving workshops attended by multiple stakeholders to identify research priorities. To date, the program has significantly improved our knowledge of Pilbara northern quolls, particularly in relation to effective survey and monitoring techniques, the influence of habitat quantity, configuration, and composition on occupancy, movement ecology, population dynamics and structure, and the threat posed by introduced predators. The efficacy of artificial refuges that were created to replicate natural denning habitat has also been investigated. Suggested future research directions focus on refining the northern quoll regional monitoring program, understanding how interacting threats such as introduced predators, fire, and herbivore grazing influence northern quoll populations in the Pilbara, and how best to mitigate other threats such as mining associated activities and the impending cane toad invasion.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".