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Record W4402899408 · doi:10.5376/be.2024.14.0011

From Ancient to Modern: The History of Human Fire Management in Australia's Tropical Savannas

2024· article· en· W4402899408 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiological Evidence · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyTropical forestTropicsAgroforestryTropical rain forestArchaeologyEcologyEnvironmental scienceRainforestBiology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.243
GPT teacher head0.395
Teacher spread0.152 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it