Bibliographic record
Abstract
This paper examines evidence of the factors affecting the adoption of water markets within Australia's largest irrigation district, the Goulburn-Murray Irrigation District in Northern Victoria. The district is unique for the purpose of this analysis for a number of reasons: 1) irrigators are supplied by two main systems with very different supply reliability; 2) parts of the district have a high proportion of land suffering from soil degradation and salinity with low value production while other areas have better soils and higher value production; 3) market restrictions have been eased over time and vary across the district; 4) the district has experienced severe drought over the last six years; and 5) there are two different types of irrigators within the district, those supplied by the district infrastructure and those pumping their own water directly from the rivers with slightly different entitlements. The paper uses the trading and entitlement registers to analyze the trading behavior of all farm businesses during the first 13 years of trading both in the market for water entitlements and water allocations. Originally markets were adopted most extensively in the area with the largest potential financial tradeoffs between high and low value water users and irrigators with poor and good soils, while in the other parts of the district the main drivers of market participation have been scarcity and policy changes.
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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 | 0.000 |
| 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 | 0.000 |
| 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 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".