Research and practice: environmental action for improving water quality in cotton catchments since 1990
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.
Bibliographic record
Abstract
In the modern era, agriculture must seek to be environmentally sustainable, an obligation now considered as a social contract. This demands that its activities do no significant harm, where the natural resources sustaining it are fully safeguarded, but of necessity in the context of profitable agriculture. The requirement to minimise the environmental impact of the necessary agrochemicals and pesticides in waterways is especially demanding. In the past 20 years, the Australian cotton industry has approached this obligation in various ways, needing extensive planning, learning from past experiences, but it can be legitimately claimed, with significant success. This success has been achieved at some cost, requiring large numbers of personnel, time and resources. This review aims to document the strategies that have been employed, how these required effective research management and how the research data generated was applied. To the extent that this complex program of participatory action has succeeded, while also acknowledging some dramatic failures, other areas of agriculture can also benefit by identification of the key factors contributing to success.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it