Research priorities for the Pilbara leaf-nosed bat (Rhinonicteris aurantia Pilbara form)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Significant biodiversity offset funds have been allocated towards conservation research on threatened species as part of the environmental approvals process for resource development in the Pilbara region of Western Australia. One of these species is the Pilbara leaf-nosed bat (Rhinonicteris aurantia Pilbara form), which is entirely reliant on roosting in a limited number of caves and disused mines, many of which exist in the mineral-bearing strata that are the focus of mining activity. A research agenda for the Pilbara leaf-nosed bat was developed during a workshop attended by scientists, environmental consultants and mining industry representatives. Five research priorities were identified: (1) collate existing data contained within unpublished environmental surveys; (2) clarify and better characterise the number and distribution of day roosts; (3) better understand habitat requirements, particularly foraging habitat, and the movement of bats between roosts; (4) provide more robust estimates of total population and colony size, and improve understanding of social behaviour; and (5) investigate appropriate buffers in a range of mining contexts and protocols for artificial roost construction. Meta-analysis of current data, confirmation of potential day roosts, and long-term monitoring of activity patterns would rapidly increase our knowledge of the Pilbara leaf-nosed bat to enable effective conservation actions.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it