MétaCan
Menu
Back to cohort

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 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)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0120.006
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.002

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; 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 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

Explore more

Same venueRevista Extensão & SociedadeSame topicHealthcare during COVID-19 PandemicFrench-language works237,207