Bibliographic record
Abstract
The experiences of John William Bannister as Chief Justice of Sierra Leone are brought into conversation with those of his brother Thomas Bannister, a settler in Australia, as both tried urgently to mobilize the global resources of empire to rescue failing family fortunes. In Sierra Leone, John William Bannister tried to administer impartial justice in a deeply racialized context. Thomas was one of the ‘pioneers’ in the Swan River colony in western Australia and an investor in the project of Van Diemen’s Land settlers to colonize Kulin lands in what would become the colony of Victoria, in the aftermath of genocidal violence in Van Diemen’s Land (Tasmania). He promoted consensual colonialism through treaties, echoing his brother Saxe, former Attorney General of New South Wales. The chapter examines the invasion of Australia, including violence against Indigenous peoples, ‘exploration’, ecological change including the importation of livestock, British elite patronage and the highly controversial effort of disingenuous settlers to create a treaty with the Kulin. The chapter closes with comparison between West Africa and Australian coastal colonies in the 1820s and 30s, disparate sites along the sea lanes of empire tenuously linked by imperial markets, military control and common justificatory ideologies.
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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 | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".