Charlotte Tassé (1893-1974), infatigable promotrice du modèle de la garde-malade canadienne-française
Bibliographic record
Abstract
A forgotten figure of the history of healthcare as well as Quebec's history, Charlotte Tassé (1893-1974) was a figurehead of the professionalization of Quebecoise nurses. This French-Canadian nurse established and ran two nursing schools, launched and directed a professional reference journal for thirty-five years, actively participated in the development of psychiatric nursing in Quebec, owned and managed one of the most important mental healthcare centers in the country, and also created a new class of nurses in Quebec: practical nurses. One of her main achievements was to establish and defend, with tenacity and persistence and through all her endeavors, a unique nursing model that was specific to Quebec: the French-Canadian nurses model. With its traditional values of care and femininity and avant-gardist representations of the nurses' job, which she dedicated to hospital management, her model contributed to making the history of nurses in Quebec unique and original. This paper focuses on the creation of this model and the active promotion it has benefited from for half a century by recounting, thanks to unpublished archives, the history of Charlotte Tassé's exceptional career.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".