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CORONAVÍRUS E GESTAÇÃO NO ESPAÇO VIRTUAL: UM PROCESSO DE ENSINO-APRENDIZAGEM ATRAVÉS DA ENFERMAGEM

2020· article· pt· W3110017583 on OpenAlexaff
Michelle Araújo Moreira, Priscilla dos Santos Nascimento, Patrí­cia Figueiredo Marques

Bibliographic record

VenueRevista Extensão & Sociedade · 2020
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O processo de ensino-aprendizagem encontra nas ligas acadêmicas (LA) novo espaço de atuação. Trata-se de um relato de experiência que objetiva discutir sobre coronavírus e gestação em espaço virtual através do processo de ensino-aprendizagem da Enfermagem. Utilizou-se uma transmissão de vídeo em tempo real veiculada através da plataforma digital Instagram. Oportunizou-se novo espaço para discussão sobre o tema proposto, assim como aumento do alcance das atividades desenvolvidas pela Liga Acadêmica em Enfermagem Ginecológica e Obstétrica. Destaca-se a construção um projeto de pesquisa sobre coronavírus e gestação, que se encontra aprovado pelo CEP da Universidade Estadual de Santa Cruz. Conclui-se que a atuação das LA de Enfermagem nos espaços virtuais contribui para o processo de ensino-aprendizagem sobre este e muitas outras temáticas de relevância social.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.004

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 head0.090
GPT teacher head0.347
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations5
Published2020
Admission routes1
Has abstractyes

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