Bibliographic record
Abstract
Canada 44/2 of the best Canadian writing." Rather, the principle of selection was to choose material that was "characteristically Canadian, in mood, or content, or both." Dedicated to "the man on the street and the woman in the streetcar,"' PocketfulIconstructs a deliberately appealing vision of Canada during the period of post-war reconstruction. Despite Robins's caveat, the Council's own later publicity would describe the volume as "An anthology of Canadian poetry, prose and art, selected in a successful attempt to capture the spirit of Canada and its people."b The story of this book's production, dissemination, and reception, together with an analysis of its contents, provides a fascinating window into a crucial period in Canada's cultural history, when post-war ideologies would lead to far-reaching consequences through the eventual impact of the Massey Commission. A non-governmental organization, the Canadian Council of Education for Citizenship was founded in 194I and became the Canadian Citizenship Council in 1946, shortly before the Canadian Citizenship Act came into force on I January 1947.7 During the War, the Council issued various pamphlets, such as Suggested Program for Remembrance Day in the Schools of Canada (194I) and International
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.025 |
| Scholarly communication | 0.019 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 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".