The humorous side of Canadian history. : Read before the Canadian Club of New York.
Bibliographic record
Abstract
Neiv Papers o?i Canadian History, making a pretty portrait of him right here.[A rapid sketch here set forth a picture at once recognized by the audience as -not Goldwin Smithbut Mr. Whitelaw Reid.]Perhaps, before going on, I ought to apologize to the American portion of my audience for not having chosen a theme of greater novelty to them than the History of Canada.I had anticipated an audience made up chiefly of Canadians, but it is too late now to rectify the mistake.I am well aware that the citizens of the United States are just as familiar with Canada, her history and her affairs, as they are with Chinese Tartary, and I can hardly hope to tell them anything they do not know.But in view of the fact that Canada and the Republic have many features in common, besides baseball, and that many more or less distant relatives of American citizens are residing in that country, having in a few cases been struck somewhat suddenly by its charms as a place of residence, and having since exhibited a clinging affection for it, which few nativeCanadians can rival, it seems to me that all will be interested in the theme I have selected.Canada is the name given to the greater portion of the continent of North America, and politically it is an integral portion of the British Empire.I mention this because there is an impression prevailing in Ohio and some other foreign coun- tries, that Canada is owned by a railway syndicate.This is a mistake.Nominally Canada belongs to Great Britain, it con- tributes the adjective to the title, as Britain itself is only a small affair, but really and practically the vast Dominion is owned and run by the handsome and picturesque people so well represented in blanket suits on the present occasion.[Allud-
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.141 | 0.026 |
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".