Establishing themselves on the new land: Port Phillip crop-growers in the 1840s
Bibliographic record
Abstract
Historians of early New South Wales (NSW) commonly agree that crop-farming was an unattractive occupation in the pre-gold rush period. Agricultural settlers were affected by the high cost of arable soils, a small colonial market, low crop prices, high labour costs, lack of capital, weather uncertainties and trifling support from the colonial government. Against these odds it is no wonder that Chris King concluded that before the mid-nineteenth century growing cash-crops was 'considered by many a hazardous investment, usually a means of severing fools from their money'. Nevertheless, there were a number of people engaged on the land in the second quarter of the nineteenth century who did consider cultivation a viable commercial activity. In spite of the unfavourable environmental and economic conditions, there were by the mid-nineteenth century around 15,000 NSW residents (including the Port Phillip district) making a permanent living from cropping land.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".