Bibliographic record
Abstract
Approximately 8,000 Canadian civilians were imprisoned during the First World War because of their ethnic ties to Germany, Austria-Hungary, and other enemy nations. Although not as well-known as the later internments of Japanese Canadians during the Second World War, these incarcerations played a crucial role in shaping debates about Canadian citizenship, diversity, and loyalty. Tracing the evolution and consequences of Canadian government policy towards immigrants of enemy nationality, No Free Man is a nuanced work that acknowledges both the challenges faced by the Government of Canada as well as the experiences of internees and their families. Bohdan Kordan gives particular attention to the ways in which the political and legal status of enemy subjects configured the policy and practice of internment and how this process – magnified by the challenges of the war – affected the broader concerns of public order and national security. Placing the issue of internment within the wider context of community and belonging, Kordan further delves into the ways that wartime turbulence and anxieties shaped public attitudes towards the treatment of enemy aliens. He concludes that Canada’s leadership failed to protect immigrants of enemy origin during a period of intense suspicion, conflict, and crisis. Framed by questions about government rights, responsibilities, and obligations, and based on extensive archival research, No Free Man provides a systematic and thoughtful account of Canadian government policy towards enemy aliens during the First World War.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.155 | 0.032 |
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".