Bibliographic record
Abstract
In the early 1950s Australia mined little bauxite and produced no alumina, that being the chemically pure aluminium oxide which is extracted from bauxite and then smelted in electric furnaces to produce aluminium metal. The huge costs of aluminium production meant that, after World War II, six large companies dominated the aluminium industry worldwide, from mining bauxite through to fabricating and selling metal. These were Alcoa, Reynolds Metals and Kaiser in the United States, Alcan in Canada, Pechiney in France and Alusuisse in Switzerland. In the 1940s the Chifley government planned a small aluminium smelter in Tasmania largely for defence purposes, and originally dependent on imported bauxite. Government co-operation with industry to search for indigenous bauxite feedstock for the smelter saw two discoveries of bauxite at about the same time in northern Australia in the 1950s-the first at Gove in the Northern Territory and the second, much larger find, across the Gulf of Carpentaria in Queensland. These two discoveries and the proving of bauxite deposits of commercial grade in Western Australia a few years later meant that Australia possessed an astonishing one third of the world's bauxite by the early 1960s.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".