Bibliographic record
Abstract
Abstract : Sir Alfred Munnings painted the Canadian Cavalry Brigade and the Canadian Forestry Corps as part of the Canadian War Memorials Fund during the First World War. In the first half of 1918, Munnings, England’s most renowned equine artist, depicted the Canadians in sketches and on canvas, and he eventually produced over 40 works of art. This article will explore Munnings’s interactions with the Canadian cavalrymen and lumberjacks in uniform, while providing additional insight into his works of art that are held at the Canadian War Museum in Ottawa.\nSommaire: Sir Alfred Munnings a réalisé les oeuvres consacrées à la Brigade de cavalerie canadienne et au Corps forestier canadien lorsqu’il était artiste pour le Fonds de souvenirs de guerre canadiens, durant la Première Guerre mondiale. Dans la première moitié de 1918, Alfred Munnings, le peintre équestre le plus renommé d’Angleterre, a illustré les Canadiens dans des croquis et sur toile, pour réaliser plus de 40 oeuvres d’art. Cet article examine les interactions de l’artiste avec les chevaliers et les bûcherons canadiens en uniforme, et offre des renseignements complémentaires sur ses oeuvres qui sont conservées au Musée canadien de la guerre, à Ottawa.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.036 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.043 | 0.002 |
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".