Bibliographic record
Abstract
Succeeding phases of British economic growth prompted strikingly different imperatives for expansion, for natural resource exploitation, and for the social organization of extra-European production. In the eighteenth century, sugar, African slaves, and shipping in the Atlantic world provided one major dynamic of empire. But in the nineteenth century, antipodean settlement and trade, especially that resulting from expanding settler pastoral frontiers, was responsible for some of the most dramatic social and environmental transformations. Plantations occupied relatively little space in the new social geography of world production. By contrast, commercial pastoralism, which took root most energetically in the temperate and semi-arid regions of the newly conquered world, was land-hungry but relatively light in its demands for labour. The Spanish Empire based in Mexico can be considered a forerunner. By the 1580s, within fifty years of their introduction, there were an estimated 4.5 million merino sheep in the Mexican highlands. The livestock economy, incorporating cattle as well as sheep, spread northwards through Mexico to what became California by the eighteenth century. Settler intrusions followed in the vast landmasses of southern Latin America, southern Africa, Australia, and New Zealand. Australia was one of the last-invaded of these territories, and, in respect of the issues that we are exploring, was in some senses distinctive. Unlike Canada and South Africa, there was no long, slow period of trade and interaction with the indigenous population; like the Caribbean, the Aboriginal people were quickly displaced by disease and conquest. The relative scale of the pastoral economy was greater than in any other British colony. Supply of meat and dairy products to rapidly growing ports and urban centres was one priority for livestock farmers. Cattle ranching remained a major feature of livestock production in Australia. Bullock-carts, not dissimilar to South African ox-wagons, were essential for Australian transport up to the 1870s. But for well over a century, from the 1820s to the 1950s and beyond, sheep flooded the southern lands. Although mutton became a significant export from New Zealand and South America, wool was probably the major product of these pastoral hinterlands—and a key focus of production in Australia and South Africa. The growth in antipodean sheep numbers was staggering.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".