MétaCan
Menu
Back to cohort

Importância da Residência em Enfermagem no Processo Ensino-Aprendizagem: uma Revisão Integrativa

2019· article· pt· W2935970968 on OpenAlexaff
Rosana Moreira da Silva, Luana da Silva Freitas, Carmem Larissa Soares Araújo, JéssicaHegedus Camargo, Alex Miranda Franco, Jacó Navegantes da Silva, Ilma Pastana Ferreira

Bibliographic record

VenueRevista Enfermagem Atual In Derme · 2019
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O objetivo desse estudo é analisar as produções científicas dos anos de 2012 a 2016, referentes à importância dos programas de residência para o processo ensino-aprendizagem em enfermagem. Trata-se de uma revisão integrativa da literatura, realizada por meio da Biblioteca Virtual da Saúde (BVS) utilizando as Bases de Dados,LILACS, BDENF e a biblioteca eletrônica SCIELO, utilizando os Descritores em Ciências da Saúde (DeCS):“Internato e Residência”, “Preceptoria e Educação em Enfermagem”.Foram encontrados 62artigos, dos quais 46foram eliminados conforme critérios de exclusão,restando 16artigospara amostra final, cuja maioria são qualitativos com nível 6 de evidência.A enfermagem tem produzido número significativo de estudos acerca do tema, porém com baixos níveis de evidência. A residência é capaz de propiciar maior segurança ao enfermeiro, suprindo lacunas da graduação e proporcionar melhorias no atendimento ao paciente, no entanto, o processo ensino-aprendizagem requer aperfeiçoamento e investimentos nos enfermeiros preceptores. Palavras-chave:Internato e Residência; Preceptoria; Educação em Enfermagem.

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)0.030
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0130.016
Science and technology studies0.0020.006
Scholarly communication0.0160.010
Open science0.0020.005
Research integrity0.0020.003
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 head0.063
GPT teacher head0.354
Teacher spread0.291 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista Enfermagem Atual In DermeSame topicHealthcare during COVID-19 PandemicFrench-language works237,207