Kimberley Rainforests: A Focus on Biological Diversity
Bibliographic record
Abstract
For many years Kevin was a Principal Research Scientist with the Department of Environment and Conservation. His research has focused on the botany of the Kimberley and Top End, document-ing in particular the flora of remote rainforests and monsoon vine thickets. Kimberley rainforests total a mere 7000 hectares, less than 0.01% of the region, yet - incredibly - they contain around 25% of the region’s total plant species! Kevin began his fieldwork on the Dampier Peninsula back in 1977. Through the 1980s & 1990s, Kevin worked tirelessly with members of the Broome Botanical Society and Indigenous elders to document the local flora. This collaboration resulted in the 1996 landmark publication Broome and Beyond: plants and people of the Dampier Peninsula, gaining the team a CSIRO Medal for Re-search Achievement. Kevin is currently Adjunct Professor at UWA, as well as an Honorary Re-search Associate for the WA Herbarium & WA Museum.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".