'Come on back to the war': Germany as the Other National Other in Canadian Popular Culture
Bibliographic record
Abstract
This essay argues for bringing the methodology of post-colonial studies to bear on mainstream Canadian popular culture, towards a rethinking of Canada's ideological affinities with nations traditionally considered as Canada's 'Others,' the United Kingdom and the United States, through the mobilizations of popular culture for militarized nation-building. This argument identifies Germany's role in popular Canadian literature as a recurring national 'Other' against which Canadian nationalism develops, sensitized to the discourse of national security. Representations of Germany as a chronotope of distant war and natural evil recur among some of the most internationally famous works of Canadian literature. Those read here include Anne of Green Gables , 'In Flanders Fields,' Never Cry Wolf , The Handmaid's Tale , the oeuvre of Leonard Cohen, and Neuromancer . The essay concludes with thoughts on the ironies and implications of transnational stereotype and state policy in the popular uses of literature.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.037 | 0.030 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".