Errors in Canadian history culled from "Prize answers".
Bibliographic record
Abstract
pression made use of by Sagard (page 174), " crosser une balle de bois leger comme Von f aid en nos quartiers" it would appear that it was not unlike some game then played in France.But Hermes might seem to have discovered a still earlier reference to the game, for his answer, as to when it is first mention- ed, is " 1608.Le jeu de crosse.Ferland's History of Canada, vol.I, page 133."This was accepted by the Spectator as correct."Upon referring to the authority cited, I was astonished to find that page 133 forms part of a chapter on the Indians, their customs, etc., and that " 1608 " is only a portion of the running heading of that chapter, and by no means intended for the date of the first mention of any of the customs therein described.Besides, Ferland could have given such an early date only on authority other than his own, his history being a recent publication.Hermes may perhaps be able to account for this singular error.FIRST MILITARY ORGANIZATION ON RECORD.. Question No. 21 was : " What is the oldest mili- tary organization of which there exists an authentic record of formation," and Hermes states that it is the celebrated Carignan Regiment, which was disbanded in 1668, soon after its arrival in Canada.He says : "Tractsof land were granted to its officers and men who chose to settle in the Colony, and, in case of attack by the Iroquois or by the Anglo-American colonists, they were expected,
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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.019 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.070 | 0.021 |
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".