Snapshots from the South African War: The F.C. Cantrill Photograph Collection at the Canadian War Museum
Bibliographic record
Abstract
The Canadian War Museum’s (CWM’s) Photographic Archives contains over 600 photograph collections or fonds. These include over 17,000 individual photographs, some with their original negatives, and more than 250 photo albums. This collection has been acquired from private sources, with the photographs for the most part representing the personal documentation of Canada’s military history by the participants. These have been brought together as part of the CWM’s mandate to collect, preserve and make available for research and exhibition the artifacts of the Canadian military experience. The collection of Frederick Charles Cantrill who served in the South African Constabulary from 1901 to 1903 is one of these.1 Larger than some, much smaller than others, this collection is typical of the personal photography undertaken by soldiers throughout the century. It is discussed here both as part of the CWM’s ongoing commemoration of Canadian participation in the South African War, and as an illustration of the interesting informal nature of many of the CWM’s photographic holdings. The article will examine Cantrill’s own story, the developments in photography that made his collection possible and, in the captions, assess what the photographs add to our understanding of Canadians in the South African War.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.021 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".