“Standing By Our Principles”: The Trades and Labor Congress of Canada and Immigration, 1933 – 1939
Bibliographic record
Abstract
This paper explores the approach of Canada's largest labour central, the Trades and Labor Congress (TLC), to immigration from 1933 to 1939. This was a unique period in Canada's immigration history, as in 1930 the government responded to the onset of the Great Depression by closing the gates to almost all immigration for the first time since Confederation, and by 1933 there was no doubt that the gates would remain closed for some time. Despite this dramatic change, Canadian labour leaders stood by their longstanding views on immigration through to the end of the 1930s. Although the level of concern about immigration predictably declined, TLC leaders generally gained confidence that their established views had widespread support. This confidence encouraged unionists to pose as protectors of immigrants against hardship in Canada. It also assured them that they did not have to devote as much energy as in earlier periods to agitating for the deportation of some immigrants, or to their longtime favourite cause, restricting immigration from Asia and southern and eastern Europe. Altogether, changes in the economy and immigration rates did not necessarily entail changes in labour's attitudes. A number of other factors, including ideological trends within the movement, prevailing attitudes towards race and gender, and the efforts of groups advocating immigration served to entrench labour's views even more deeply in the 1930s.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.036 | 0.010 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".