Bibliographic record
Abstract
Scheme (CPRS) 163-5 COAG Water Reform Framework (1994) 68 coal mining industry in 182 Commonwealth Water Act 70 Constitution of 63 Council of Australian Governments (COAG) 159, 161-2, 164-5, 169-75 Council of the Australian Federation (CAF) 161, 163, 166, 171-3 emissions trading scheme (ETS) 162-3 federal government of 59 Murray-Darling Basin 63, 67, 69 Murray-Darling Basin Initiative (1990) 68 Murray-Darling Basin Plan 70 National Emissions Trading Scheme (NETS) 163, 171, 172 National Emissions Trading Taskforce (NETT) 162 National Plan for Water Security 70 National Water Commission 70 New South Wales 11, 59-60, 63-4, 68-9, 71, 75, 164 Queensland 68, 164 River, Bow 60 River, Murrumbidgee 60 River, Snowy 69 River, St Mary 60, 62 River Murray Waters Agreement (1914) 63 Victoria 68, 164 working group on climate change and water (WGCCW) 163-4, 170-71, 174 Austria 191 Belgium 88, 93, 191 Brussels 6, 90, 111, 120-22 failure to report RBMP 89 Berlin Rules (2004) shortcomings of 92 Brandeis, Louis concept of 'laboratories of democracy' 7 Bulgaria 88, 90, 190 accession to EU (2007) 91 Burden Sharing Agreement provisions of 188 Bush, George H.W. environmental policies of 74 Bush, George W. administration of 145 environmental policies of 136, 140 opposition to Kyoto Protocol 136 Calvinism 41
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.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.623 | 0.508 |
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".