Bibliographic record
Abstract
The British Empire shaped the world we know today. Placing the colonies of settlement at the center of British Imperial History, this book rejects nostalgia to explore the complexities and lasting impacts of the British diaspora overseas. Rediscovering the British World is one part of an ongoing attempt to approach British Imperial history from a different viewpoint, placing the colonies of settlement at the centre. Editors Phillip Buckner and Douglas Francis have included nineteen essays from expert scholars in the field, which cover a broad range of cultural, social, and intellectual topics in British imperial history from the mid-nineteenth to the mid-twentieth century. Contributions focus on the history of Britain and the Empire, with considerable emphasis on the self-governing dominions of Canada, South Africa, Australia, and New Zealand. They attempt to show the centrality of the Empire in the history of the nations created by the British diaspora overseas, while at the same time calling into question the extent of the existence of a “British World.” The goal is not to wax nostalgic, but rather to re-examine the complex phenomenon of this far-reaching empire and to shed light on the ways in which it has shaped our world.
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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 | 0.001 | 0.001 |
| 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 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".