Bibliographic record
Abstract
Canada in the Frame explores a photographic collection held at the British Library that offers a unique view of late nineteenth-century and early twentieth-century Canada. The collection, which contains in excess of 4,500 images, taken between 1895 and 1923, covers a dynamic period in Canada’s national history and provides a variety of views of its landscapes, developing urban areas and peoples. Colonial Copyright Law was the driver by which these photographs were acquired; unmediated by curators, but rather by the eye of the photographer who created the image, they showcase a grass-roots view of Canada during its early history as a Confederation. Canada in the Frame describes this little-known collection and includes over 100 images from it. The author asks key questions about what it shows contemporary viewers of Canada and its photographic history, and about the peculiar view these photographs offer of a former part of the British Empire in a post-colonial age, viewed from the old ‘Heart of Empire’. Case studies are included on subjects such as urban centres, railroads and migration, which analyse the complex ways in which photographers approached their subjects, in the context of the relationship between Canada, the British Empire and photography.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.077 | 0.009 |
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".