From Ancient to Modern: The History of Human Fire Management in Australia's Tropical Savannas
Bibliographic record
Abstract
The paper "Late Pleistocene emergence of an anthropogenic fire regime in Australia’s tropical savannahs" was published in the journal Nature Geoscience on January 10, 2024, by authors Michael l. Bird, Michael Brand, Rainy Comley, et al., from the Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, Australia, among other institutions. The study investigates the transformation of natural fire regimes into anthropogenic ones within Australia's tropical savannahs over the last 150 000 years. Utilizing a continuous lacustrine record, the research establishes with high statistical certainty that a pivotal change occurred around 11 000 years ago, transitioning from less frequent, more intense fires to more frequent, less intense ones. This shift marks the influence of Indigenous fire management practices on the landscape, emphasizing human agency in modifying fire regimes throughout the Holocene.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".