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Record W4312364269 · doi:10.37885/220709643

ABORDAGENS EM VIOLÊNCIA OBSTÉTRICA: REVISÃO INTEGRATIVA

2022· book-chapter· pt· W4312364269 on OpenAlexaff
Alex Pereira Santos, Karine Pereira Batista Guerra, Marcelo Moreira Corgozinho, Gracielle de Sousa Freitas, Leila Bernarda Donato Göttems

Bibliographic record

VenueEditora Científica Digital eBooks · 2022
Typebook-chapter
Languagept
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsThe Society of Obstetricians and Gynaecologists of Canada
Fundersnot available
KeywordsHumanitiesPsychologyMedicineArt

Abstract

fetched live from OpenAlex

Objetivo: Objetiva-se neste texto reunir evidências científicas, a partir da literatura, acerca do perfil teórico sobre violência obstétrica. Método: Trata-se de uma revisão integrativa que utilizou os Descritores em Ciências da Saúde “Violência Obstétrica” e “Parto” – nas bases de dados Scientific Eletronic Library Online e Literatura Latino-Americana em Ciências da Saúde. Resultados: Após observar os critérios de inclusão e exclusão foram selecionados 22 textos, e a analise foi organizada em três eixos temáticos: percepções e experiências sobre violência obstétrica, violência institucional e violência cirúrgica. Observou-se predomínio de publicações sobre as percepções e experiências dos envolvidos no processo parturitivo, ou seja, como os atores envolvidos percebem a violência obstétrica. Conclusão: Advoga-se pelo incentivo de iniciativas que promovam o protagonismo da parturiente em todo o processo do parto, proporcionando uma assistência satisfatória ao binômio mãe-filho.

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)0.014
metaresearch head score (Gemma)0.049
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 score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0110.010
Science and technology studies0.0030.006
Scholarly communication0.0100.009
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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