Labour, modernity and the Canadian state : a history of Aboriginal women and work in the mid-twentieth century
Bibliographic record
Abstract
This thesis explores how labour, modemity and the state shaped the history of Aboriginal women in mid-twentieth century Canada.It does so through four case studies d¡awn f¡om the 1940s to the 1 970s.The tirst examines Native women and domestic service.The second case study analyzes the federal Indian Placement and Relocation Program and the experience ofwomen in it, focusing on those trained as hairdressers.The third case study explores the gendered history of the early Community Health Representatives program.The final case study utilizes the history of the Registered Nurses of Canadian Indian Ancestry association as a window into the history ofAboriginal nurses in the twentieth century.This disserlation draws on a variety of archival sources including the federal records of the Department of Indian Affairs and National Health and Welfàre, oral interviews, the records of Aboriginal organizations, prìnt and othe¡ media.This study illustrates the critical investment the Canadian state had in regulating Aboriginal women's labour.By exploring the history of Aboriginal women and wage work in the twentieth century, this thesis resists common narratives of Aboriginal displacement and invisibility especially in the fields of lndian health, education and employment.It adds to a growing literature investigating Aboriginal people in the modem era and challenging narratives of Aboriginal absence, displacement and apparent insignihcance, inauthenticy and loss which cunent narratives about Aboriginal modemity entail.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.053 | 0.034 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".