Rethinking the Heart of Empire: Indigenous Travellers in London, 1502-2015
Bibliographic record
Abstract
London is famed both as the ancient center of a former empire and as a modern metropolis of bewildering complexity and diversity. Coll Thrush offers an imaginative vision of the city's past crafted from an almost entirely new perspective: that of Indigenous children, women, and men who traveled there, willingly or otherwise, from territories that became Canada, New Zealand, Australia, and the United States, beginning in the sixteenth century. They included captives and diplomats, missionaries and shamans, poets and performers. Thrush illustrates how London learned to be a global, imperial city and how Indigenous people were central to that process. About the Lecturer: Coll Thrush (Fairhaven 1995) is professor of history at the University of British Columbia, where he is also affiliated with UBC’s Institute for Critical Indigenous Studies. He is the author of Indigenous London and Native Seattle: Histories from the Crossing-Over Place.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".