Landscape as Memorial: A.Y. Jackson and the Landscape of the Western Front, 1917â1918
Bibliographic record
Abstract
Alexander Young Jackson ( 1882-197 4) was convalescing in England from wounds received while on active service in France.At the same time that Jackson was convalescing, two of his paintings, completed before the outbreak of war in 1914, were on exhibit at the Ontario Society of Artists' exhibition in Toronto, in a context far removed from that of the battlefield.1 Writing about this show, the critic Estelle Kerr observed, "if it is true that the Canadian public are longing for war pictures, our Government should follow the example of France and England where the best artists are exempt from military service but granted permission to wear uniforms and circulate ... in the war zone making pictures which will be of inestimable value."She concluded, however, that "the idea of a Canadian public longing for art in any form seems absurd." 2 Despite this critic's disparaging remarks on the Canadian public's lack of enthusiasm for art, by November 1916 the Canadian War Records Office had already instituted a program to have artists record the war effort with the aim of providing for the Canadian people, "suitable Memorials in the form oftablets, oil-paintings etc., to the Canadian heroes and heroines in the war." 3 It was not until August 1917, however, that Lieutenant A.Y. Jackson was chosen as the first Canadian to be assigned to duty as an official war artist for the Canadian War Memorials Fund.An examination of Jackson's career, both as an infantryman and later as a war artist at the front, reveals much about issues such as the war as spectacle, and contributes to our understanding of the production of war art in the front lines.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".