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Record W4383906968 · doi:10.33233/eb.v22i3.5172

Planejar o pré-natal, parto e pós-parto: possibilidades no enfrentamento à violência obstétrica

2023· article· pt· W4383906968 on OpenAlexaff
Luiza Regina de Oliveira Infante, Laís Barbosa Patrocino, Margareth Santos Zanchetta, Fernanda Penido Matozinhos, Kleyde Ventura de Souza, Flora Rodrigues Gonçalves, Érica Dumont Pena

Bibliographic record

VenueEnfermagem Brasil · 2023
Typearticle
Languagept
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNursingSociologyPsychologyMedicine

Abstract

fetched live from OpenAlex

Objetivo: Discutir as potencialidades e os desafios do plano de parto para construção do cuidado humanizado com ênfase na prevenção da violência obstétrica. Métodos: Trata-se de um estudo qualitativo que analisa narrativas de mulheres que planejaram seus partos, por escrito e de modo verbal, e também que não o planejaram. Resultados: Como resultado, foram analisadas potencialidades do planejamento de parto, com destaque para ampliação da percepção da violência obstétrica e sua prevenção. Além disso, evidenciaram-se lacunas como o não planejamento do puerpério e a necessidade de avançar com o plano de (pós) parto. Conclusão: O “Plano de Parto e pós-Parto” mostra-se como ferramenta para a prevenção da violência obstétrica e pode garantir a qualificação do cuidado no puerpério às mulheres que sofreram violência obstétrica.

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)0.003
metaresearch head score (Gemma)0.018
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.079
GPT teacher head0.382
Teacher spread0.303 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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