Bibliographic record
Abstract
The Taking of Vimy Ridge explores the life and works of William Ivor Castle, a Canadian official First World War photographer known for staging and manipulating his photographs. Castle shot more than 1000 photographs during his time as official photographer attached to the Canadian Corps, and his iconic (though sometimes manipulated) scenes of war created a sensation at London’s Grafton Galleries during the war. But the remainder of his wartime oeuvre, and Castle himself, are less well-remembered today. The Taking of Vimy Ridge analyzes the unique relationship between Castle and the Canadian War Records Office and distinguishes several of Castle’s never-before-identified manipulated works as he attempted to illustrate the Battle of Vimy Ridge—one of Canada’s most mythologized First World War battles—to audiences around the world. Drawing from Canadian and British archival records, as well as Castle’s complete body of work from the Battle of Vimy Ridge, this richly illustrated book offers a much more expansive understanding of Castle's contribution to both war photography and our understanding of portrayals of the First World War, including a close interpretation of the technical choices he made in framing his images, and the context in which this oeuvre developed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".