Bibliographic record
Abstract
The Spanish Civil War (1936–1939) inspired an outpouring of responses among Canadian cultural producers. Yet, the war and its influence on Canada literature have received little attention in histories of Canadian cultural production. This anthology attempts to remedy this gap and inspire future research into Canadian Spanish Civil War literature. The anthology brings together a selection of diverse literary materials—fiction, poetry, drama, reportage, journalism, pamphlets, memoirs, and other life writing—representing just a fraction of the Canadian cultural production inspired by the Spanish conflict. Many of these texts have never been published before, having been largely dispersed in archives across the world. This selected anthology joins Ted Allan’s This Time a Better Earth , Hugh Garner’s Best Stories , and Charles Yale Harrison’s Meet Me on the Barricades in the Spanish Civil War subseries of the University of Ottawa Press’s Canadian Literature Collection. Together, these edited texts are now re-circulating under a common banner to establish what we consider to be the first stage in the recovery of anglophone Canadian literature about the Spanish Civil War. To further situate the literary texts included here, we include a scholarly introduction, and a full apparatus of author biographies, textual notes, and explanatory notes. The introduction provides an historical-cultural overview of the 1930s to contextualize Canadian involvement in the Spanish Civil War and the cultural production the war generated. After establishing a historical and cultural context, we explain the rationale we’ve applied to the selection of texts for inclusion. The notes explain specific historical-cultural terms and trace the publication histories and editorial evolutions of each text. Includes works by Ted Allan, Norman Bethune, Jean Watts, Neil Bissoondath, Dyson Carter (Jack Parr), Hugh Garner, George Gordo, A.M. Mowat, Kathryn Peck, Alfonso Rojo, Milton Acorn, Patrick Anderson, George Elliott Clarke, Stephen Collis, Margaret Day, Brian Dedora, Louis Dudek, Dorothy Livesay, Leo Kennedy, Eldon Grier, Ron Hawkins, Jesús López-Pacheco, L.A. Mackay, Seymour Mayne, Lionel Reid, F.R. Scott, Miriam Waddington, Patrick Waddington, J.A. Wainwright, J.S. Wallace, and many others.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.010 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".