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Programa de colaboração e graduação internacionais em administração de enfermagem

2011· article· pt· W1563003024 on OpenAlexaff
Clémence Dallaire

Bibliographic record

VenueRevista da Escola de Enfermagem da USP · 2011
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGerontologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Programa de colaboração e graduação internacionais em administração de enfermagemClémence Dallaire 1 A gestão ou administração de enfermagem, como um campo de estudo ou programa de graduação, oferece a oportunidade de se examinar questões que influenciam a qualidade e segurança do tratamento oferecido em país, as quais podem resultar em políticas.Os programas em gestão ou administração de enfermagem podem se beneficiar de uma colaboração internacional que oferece conhecimento de outros países e programas para oferecer suporte àquilo que a universidade pode oferecer independentemente de seu tamanho.A reflexão atual contribuirá para uma discussão mais geral sobre as questões que podem ser de interesse para um programa de pós-graduação especializado em gestão de enfermagem.Para esta finalidade, será apresentada uma perspectiva geral do conteúdo de administração de enfermagem, na qual uma rede internacional em gestão de enfermagem possa existir, alguns exemplos do que uma faculdade estrangeira poderia oferecer à outra e, por fim, explorar as possibilidades de colaboração e implementação baseadas em experiências anteriores.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0030.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.196
GPT teacher head0.440
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2011
Admission routes1
Has abstractno

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