Bibliographic record
Abstract
Rod Macleod's biography of famed North-West Mounted Police (NWMP) offi cer and military leader Sir Sam Steele is a result of the $1.8 million purchase of the Sir Samuel Steele Collection by the University of Alberta in 2008.Some 115 linear feet of archival material was transferred to the Bruce Peel Special Collections Library at the University of Alberta. is material, Macleod notes in the book's introduction, includes drafts of Steele's autobiography, his diaries from 1885 to his death in 1919, and, after 1889, lengthy letters to his wife Marie, which, Macleod writes, makes it "possible to reconstruct his life on almost a daily basis" (xv).e number of signi cant events in the rst fty years of Canadian history that Steele participated in-the Red River Resistance, the North-West Rebellion, the Klondike gold rush, the Boer War, and the First World War-is remarkable.As Macleod writes, "by the time he died in 1919, he had missed very few of the epic adventures that shaped Canada during the previous fty years, and had been a leading gure in several of them" (1).But Macleod's focus is on Steele the person and his experiences.He describes Steele as an ambitious man, as is clear throughout the book.Steele "rose high," Macleod writes, "but always, it seemed, with the ultimate prize just beyond his reach" (xv).He was also a committed family man."From his marriage until the end of his life," Macleod notes, "every major decision he made about his career revolved around their interests" (xiv).Steele often clashed with peers and his political superiors, and blamed them when he failed to achieve his ambitions.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.036 | 0.036 |
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".