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Internação por ordem judicial: dilemas éticos vivenciados por enfermeiros

2013· article· pt· W2117070237 on OpenAlexaff
Mara Ambrosina de Oliveira Vargas, Flávia Regina Souza Ramos, Dulcinéia Ghizoni Schneider, Nadir Schneider, Alessandra Ceci dos Santos, Sandra Maria Cezar Leal

Bibliographic record

VenueRevista gaúcha de enfermagem · 2013
Typearticle
Languagept
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsRegina General Hospital
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Pesquisa qualitativa, cujo objetivo foi descrever as situações vivenciadas e os dilemas éticos dos enfermeiros no percurso de encaminhamento e recebimento, por ordem judicial, de pacientes com indicação de internação em Unidade de Terapia Intensiva (UTI). Foi efetivada entrevista parcialmente estruturada com 10 enfermeiros, que atuam em UTI e 10 que atuam em emergência de hospitais públicos e privados da região metropolitana de Porto Alegre, Brasil. Os dados foram submetidos à análise temática. Os resultados indicam que os enfermeiros vivenciam dilemas éticos consequentes aos problemas de superlotação das UTI e das emergências, da precária tecnologia especializada, da orientação quanto ao benefício concedido pela lei. Concluiu-se que é fundamental a participação dos enfermeiros em debates que possibilitem mapear as diferentes instâncias que têm promovido esta situação, muitas vezes caótica.

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)0.010
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.087
GPT teacher head0.424
Teacher spread0.337 · 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 designQualitative
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

Citations9
Published2013
Admission routes1
Has abstractyes

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