Biodiversity and Ecologically Sensitive Grazing: Collected Extracts from 'Biodiversity in the Paddock - A Land Managers Guide'
Bibliographic record
Abstract
have just published research that makes clear the notions that biodiversity can complement farm business and that native pastures can be profitable.The booklet they have produced is based on past and current research and the personal experience of 24 producers on the south-western slopes of New South Wales and inland slopes of Victoria with whom the scientists have been working.Research surveys on these properties were undertaken during 2006 and 2007, seasons of well below average rainfall.The booklet presents a snapshot of the lessons learnt for biodiversity.On many south-east Australian properties, native pastures make up 65% or more of the grazing area and are the most widespread form of native vegetation.This landscape was once woodland but now supports a range of land uses.The native pastures in this region are important for commercial production but also play a critical role in maintaining native biodiversity and healthy landscapes.Low and high input native pastures (see below) are the two most widespread types.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".