The Pervasive Presence of the Discourse of White Civility in Early Canadian Social Work in Immigration Services (1900–30)
Bibliographic record
Abstract
The first half of the twentieth century was formative for the Canadian social work profession. White settler Canada was at an intersection between the social forces of capitalism, socialism, feminism, nationalism, imperialism and social reform ( Cohen, 1996; Gaudet, 2001). A discourse of British imperial ideas was in wide circulation, although there was contestation and diverging ideas. Through the osmotic transmission process of cultural imperialism, many of these imperial ideas became part of the fabric of social work. Using a comparative historical archival approach, I examine two politically different social work organisations—the Imperial Order of the Daughters of the Empire and Toronto University Settlement—in order to show that this discourse crossed the political spectrum. I consider the influence of imperial discourses on the formation of Canadian social work and the legacy this has left us with.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".