Bibliographic record
Abstract
It is an established point of commentary that Australia had certain imaginative links with India, courtesy of the British Empire spreading its culture and administrative style across the globe. There is Alfred Deakin's book on his enquiry into Indian irrigation s§stems resulting in his invitation to two Canadian brothers with Californian experience to start irrigation settlements on the Murray River around what is now the city of Mildura. There are Ethel Anderson's stories of colonial life in India arising from her marriage to a British military officer stationed across the north of the subcontinent in the first half of the twentieth century. And there are the tales ofIndian immigration to Australia before the imposition of the White Australia Policy that led to Mena Abdullah's tales of growing up on a farm in northern New South Wales with a Muslim father and a Hindu mother. Then there is the otherwise rollicking Aussie yarn of young women dressed as men earning their living by seasonal labour on vegetable farms in Victoria (Eve Langley's The Pea Pickers) which features their friendship with Punjabi farmers settled there after the goldrush era.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".