Bibliographic record
Abstract
|| Introductionin novEMbEr 1899, as the last weeks of the 19th century ran their course, Superintendent Sam Steele of the North-West Mounted Police (nwMP) paid a rare visit to the area around Orillia where he had grown up.He travelled to the farm a few miles west of the town where he was born fifty-one years previously, and to the churchyard where his parents were buried.He thoroughly enjoyed reconnecting with old family friends and staying with his half-brother, John Steele, at the nearby town of Coldwater.Sam Steele made strong and lasting friendships throughout his life and valued his family and childhood ties.On this visit he also relished the role of returning hero.Although his departure from the Yukon Territory a month before had been involuntary and under something of a political cloud, the circumstances were not widely known and his reputation as the man who had tamed the gold rush was undimmed."Had to talk Yukon all day," he noted in his diary for November 16. 1 Happy as he was to regale the citizens of Orillia with tales of the world-famous gold rush, Steele's own future was very much in doubt at this point in his life.He had served the nwMP with distinction for twenty-six years and had long hoped to cap his career with command of the Force, but in the fall of 1899 that prospect seemed Africa in 1901 he described the country where Lord Strathcona's Horse was fighting:This is what the people call the bush veldt and the whole of them talked of it as if it was like our bush, but I can now understand an old Country man.It really is nothing more than a nice park like country, with lots of room to go through it.My youthful experiences taught
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.572 | 0.352 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".