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Record W3213331539

Charlotte Tassé (1893-1974), incansable promotora del modelo franco-canadiense de enfermería

2018· article· es· W3213331539 on OpenAlexaboutno aff
Alexandre Klein

Bibliographic record

VenueRecherche en soins infirmiers · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesNursing carePhilosophyArtMedicineNursing
DOInot available

Abstract

fetched live from OpenAlex

Charlotte Tasse (1893-1974) fue una figura olvidada en la historia de la atencion sanitaria y en la historia de Quebec, pero destacada en la profesionalizacion de las enfermeras quebequesas. Esta enfermera franco-canadiense creo y administro dos escuelas de enfermeria, lanzo y dirigio durante treinta y cinco anos una revista profesional de referencia, participo activamente en el surgimiento de la enfermeria psiquiatria en su provincia, poseia y operaba uno de los principales centros de atencion de salud mental del pais e incluso creo desde cero una clase de enfermeras por derecho propio: las enfermeras auxiliares. Sobre todo, establecio y defendio, con tenacidad y perseverancia, a traves de todos estos logros, un modelo de enfermeria unico y propio de Quebec: el modelo de enfermeria franco-canadiense. Entre los valores tradicionales del cuidado y la feminidad y las representaciones vanguardistas del papel de las enfermeras, que dedico a la gestion de los hospitales, contribuyo con este modelo a hacer que la historia de las enfermeras de Quebec fuera unica y original. Sobre la creacion de este novedoso modelo de enfermeria y sobre la promocion activa de este durante casi medio siglo, este articulo1 vuelve a trazar, a partir de archivos ineditos, la extraordinaria carrera de Charlotte Tasse.

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)0.017
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.265
GPT teacher head0.468
Teacher spread0.203 · 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; a candidate call from one teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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