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Record W2290568884

Autoridade Prescritiva e Enfermagem: uma análise comparativa no Brasil e no Canadá

2015· article· pt· W2290568884 on OpenAlexaff
Maria Lí­gia dos Reis Bellaguarda, Sioban Nelson, María Itayra Padilha, Jaime Alonso Caravaca‐Morera

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2015
Typearticle
Languagept
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCredibilityConsolidation (business)Competence (human resources)Medical prescriptionLegislationNursingScope of practiceHealth professionalsContext (archaeology)MedicinePolitical sciencePsychologyHealth careGeographyBusinessLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

"Objetivo: analisar as diferenças entre prescrição de medicamentos por enfermeiros no Brasil e em Ontário, Canadá. Métodos: estudo comparativo entre dois cenários diferentes; esta comparação não foi realizada entre os dois países, pois o Canadá não padroniza esta prática, que se encontra legalmente estabelecida e é considerada como uma área de conhecimento profissional avançado no Brasil. Resultados: prescrição é uma posição profissional a ser ocupada por enfermeiros. No entanto, há uma tensão em torno desta prática, já que é percebida como uma ameaça aos privilégios ou às tradições de outros profissionais de saúde. A prescrição de medicamentos por enfermeiros no Brasil e em Ontário segue a legislação vigente e processo de treinamento em cada contexto. Conclusões: existem alguns desafios a serem superados para garantir a visibilidade e a consolidação da prática pelos enfermeiros nestas realidades: garantia de aptidão profissional, credibilidade, aceitabilidade e respeitabilidade de clientes em seu âmbito profissional por outros profissionais de saúde."

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.017
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.071
GPT teacher head0.357
Teacher spread0.285 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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