Bibliographic record
Abstract
On the 13th of July 2011, a symposium was held at the Australian Wildlife Conservancy's Scotia Sanctuary, in far western New South Wales. This symposium focused on research in a region that is fast becoming a hub for ecological and applied conservation studies. To the east of Scotia is the University of Ballarat's Nanya Station where Martin Westbrooke and his colleagues and students have focused on vegetation and reptile community dynamics. To the south of Scotia is the NSW Office of Environment and Heritage's Tarawi Nature Reserve where David Keith, Mark Tozer and colleagues have been conducting long-term work on the fire and grazing responses of vegetation and where research on malleefowl and long-term pest animal control is occurring. To the west of Scotia is the Danggali Conservation Park in South Australia. While at Scotia itself, Australian Wildlife Conservancy staff, collaborators and students are researching threatened species ecology, threatening processes, reintroduction biology, pest animal control techniques and ecosystem services in a system that includes Australia's largest fenced conservation area (8000 ha) that is free of rabbits, goats, cats and foxes and where locally extinct native species, such as bilbies, bridled nailtail wallabies, numbats, greater stick-nest rats, boodies and woylies have been reintroduced.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.214 | 0.058 |
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".