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Record W4382195317 · doi:10.5902/2179769273651

Retrato da atuação profissional das enfermeiras em unidade de terapia intensiva COVID-19: revisão integrativa

2023· article· pt· W4382195317 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de Enfermagem da UFSM · 2023
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineHumanitiesCoronavirus disease 2019 (COVID-19)ArtInternal medicine

Abstract

fetched live from OpenAlex

Objetivo: analisar e integrar as evidências científicas acerca do conhecimento produzido em termos de cuidado, saúde ocupacional, física e emocional por enfermeiras que atuam em Unidade de Terapia Intensiva COVID-19. Método: revisão integrativa de literatura realizada no PubMed, Excerpta Medica Database, Scopus, Web of Science, Cumulative Index to Nursing & Allied Health Literature e na Biblioteca Virtual da Saúde, em março de 2022. Resultados: os dados extraídos de 39 artigos foram integrados em três temas: a saúde física e emocional das enfermeiras na unidade de terapia intensiva; a saúde ocupacional dos trabalhadores das unidades de terapia intensiva COVID-19; a revolução no cuidado de Enfermagem em tempos de COVID-19. Conclusão: durante a pandemia da COVID-19, enfermeiras atuando em unidades de terapia intensiva foram expostas a longas jornadas e condições inadequadas de trabalho. As enfermeiras atuaram buscando novas tecnologias para promover o cuidado e também como defensoras dos direitos dos pacientes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.006

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 head0.180
GPT teacher head0.504
Teacher spread0.324 · 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