From the Grey Nuns to the Streets: A Critical History of Outreach Nursing in Canada
Bibliographic record
Abstract
This article traces the historic antecedents of outreach nursing in Canada, going as far back as the Grey Nuns in what is now Quebec. It attempts to place modern-day street nursing in a historical context, which includes Nightingale, Wald, the early Victorian Order of Nurses, and the social reform movements of the early 20th century. The article critiques the involvement of nursing in less than virtuous aspects of social control with respect to impoverished and otherwise marginalized groups. The article goes on to trace the origins of modern Canadian street nursing in three cities: Vancouver, Toronto, and Montreal. It uses both a search of the nursing literature and, because much of this history is undocumented, oral history and anecdotal information as well. It critiques nursing's traditional avoidance of political action and calls upon modern-day nurses to support and educate one another to engage in this work.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.064 | 0.043 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".