Bibliographic record
Abstract
Thirty thousand years ago Australia was much bigger than it is now. Trade with Papua New Guinea meant walking there with your goods on your head. And the Centre, the huge mass of the present dry lands, was a spread of big lakes and rainforest. Over the next ten thousand years the people who lived there in luxurious plenty watched their land dry up. Around the campfires at night the old men chanted stories of what there had been. The young men, the warriors, found water by following it down as the last depression on a gypseous flat dried up. Sometimes their digging found nothing, sometimes at depths of four to six and a half metres they found soaks of good water. David Lindsay, on a journey from Dalhousie to the Queensland border in 1886, investigated a string of nine permanent wells in the Eyre district immediately to the west of the junction of the Northern Territory and South Australia. Those wells had needed constant attention. If not cleaned out regularly they silted up. Needing water at a well called Murraburt, Lindsay went down it. The entrance was so small that he had to take his clothes off before he could slither down. There was a direct drop of 3.6 metres, then a 2.5 metre slope to the water. He had to clean it out before the water began to bubble in, from a spring he thought. He managed to fill the party's water containers and get a bucket each for the camels.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.118 | 0.037 |
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".