Bibliographic record
Abstract
Thomas Douglas, the Fifth Earl of Selkirk (1770–1820), was a complex man of his times, whose passions left an indelible mark on Canadian history. A product of the Scottish Enlightenment and witness to the French Revolution, he dedicated his fortune and energy to the vision of a new colony at the centre of North America. His final legacy, the Red River Settlement, led to the eventual end of the dominance of the fur trade and began the demographic and social transformation of western Canada. The product of three decades of research, this is the definitive biography of Lord Selkirk. Bumsted’s passionate prose and thoughtful analysis illuminate not only the man, but also the political and economic realities of the British empire at the turn of the nineteenth century. He analyzes Selkirk’s position within these realities, showing how his paternalistic attitudes informed his “social experiments” in colonization and translated into unpredictable, and often tragic, outcomes. Bumsted also provides extensive detail on the complexities of colonization, the Scottish Enlightenment, Scottish peerage, the fur trade, the Red River settlement, and early British-Canadian politics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".