‘A Species of Treason?’: Deportation and Nation-Building in the Case of Tomo Čačić, 1931–1934
Bibliographic record
Abstract
Abstract: Deportation was used to remove political radicals from Canada during the early 1930s, as well as immigrants receiving poverty or unemployment relief. Studies of deportation in North America are limited and have rarely focused on ideas of ‘the nation’ as a primary focus of debates over deportation; and they have seldom dwelt upon the local efforts of those resisting deportation. Arguably the most influential works in this area are Barbara Roberts's Whence They Came: Deportation in Canada 1900–1935 and Anthony Rasporich's ‘Tomo Čačić: Rebel without a Country.’ This paper builds on the work of both authors by explaining not only the mechanisms, but also the ideological moorings, of Depression-era deportation policies, through the revealing case study of Tomo Čačić, a transnational radical who thought globally and acted locally. The power to deport provided the state with a powerful nation-shaping tool. Deportation of political radicals served a dual purpose: it both isolated and removed those identified as political enemies of the political order and, conversely, demonstrated by implication the qualities of those who were qualified to figure as citizens within the emerging Canadian nation.
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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 | 0.032 | 0.020 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".