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Record W4205775528 · doi:10.1590/interface.200679

Falhas de comunicação e epistemológicas limitam a abordagem da Bioética na formação e na prática em Saúde

2021· article· pt· W4205775528 on OpenAlexaff
Edinara Lina de Oliveira, Alex Galeno, Cláudio Orestes Britto Filho, Michelle Cristine Medeiros Jacob

Bibliographic record

VenueInterface - Comunicação Saúde Educação · 2021
Typearticle
Languagept
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsNutrasource
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Este artigo analisa o Ensino de Ética e Bioética (EEB) nos Programas de Residência Multiprofissional em Saúde (PRMS) vinculados à Universidade Federal do Rio Grande do Norte (UFRN), Brasil. A fim de compreender o EEB em sete programas pesquisados, avaliamos sua perspectiva teórica com base nos projetos pedagógicos (PP) comparando com um currículo de referência (“Core Curriculum”, Unesco). Para avaliar o aspecto prático, desenvolvemos 11 entrevistas semiestruturadas (critério de saturação) com preceptores (as) avaliadas por análise de conteúdo (abordagem framework). Os PP analisados tinham carga horária e módulos temáticos aquém daqueles propostos no currículo referência. Os (as) preceptores (as) desconhecem o EEB como parte do currículo dos PRMS. Apontamos a qualificação da comunicação universidade e serviços e o reconhecimento das contribuições dos (as) preceptores (as) na formação dos residentes como medidas importantes para qualificar o EEB.

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)0.026
metaresearch head score (Gemma)0.044
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: none
Teacher disagreement score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0080.022
Scholarly communication0.0170.011
Open science0.0020.011
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.139
GPT teacher head0.476
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

Citations2
Published2021
Admission routes1
Has abstractyes

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