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Record W2898536317 · doi:10.3917/rsi.134.0078

Charlotte Tassé (1893-1974), infatigable promotrice du modèle de la garde-malade canadienne-française

2018· article· fr· W2898536317 on OpenAlexaffabout
Alexandre Klein

Bibliographic record

VenueRecherche en soins infirmiers · 2018
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsProfessionalizationNursingPromotion (chess)History of nursingHealth careSociologyPsychologyPolitical scienceMedicineNurse educationLawSocial science

Abstract

fetched live from OpenAlex

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the creation of this model and the active promotion it has benefited from for half a century by recounting, thanks to unpublished archives, the history of Charlotte Tassé's exceptional career.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.180
GPT teacher head0.356
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2018
Admission routes2
Has abstractyes

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