Bibliographic record
Abstract
Ce contenu est une compilation d'articles de l'encyclopedie libre Wikipedia. Henry Marshall Tory, FRSC (11 janvier 1864 – 6 fevrier 1947), mathematicien canadien, fondateur de l'Universite de la Colombie-Britannique, de l'Universite de l'Alberta, des Laboratoires du Conseil national de recherches, de l'Universite Carleton. Il assura la creation de la medaille Henry Marshall Tory en 1941 et legua des fonds a la Societe lors de son deces en 1947 pour la financer. Ne dans une ferme pres de Guysborough en Nouvelle-Ecosse, il obtient un Bachelor of Arts de l'Universite McGill en 1890. Il etudie ensuite la theologie et obtient un Bachelor of Divinity (Licence en theologie) du Wesleyan College affilie a McGill. Il passe les deux annees suivante a precher dans une eglise. En 1893, il devient professeur assistant de mathematiques a McGill et obtient un Master of Arts dans cette branche en 1896, puis un Docteur es sciences en 1903 et est alors promu professeur associe de mathematiques.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.146 | 0.092 |
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".