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Percepção de mulheres sobre a vivência do trabalho de parto e parto

2010· article· pt· W1502305861 on OpenAlexaff
Andressa Suelly Saturnino de Oliveira, Dafne Paiva Rodrigues, Maria Vilaní Cavalcante Guedes, Gilvan Ferreira Felipe

Bibliographic record

VenueRev Rene · 2010
Typearticle
Languagept
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A visão sobre o parto e a maneira como é vivenciado são singulares. Dessa forma, cada mulher deve receber atendimento diferenciado. Objetivou-se conhecer a percepção de puérperas acerca da vivência do trabalho de parto e parto. Estudo exploratório e descritivo, qualitativo, realizado em hospital público de nível secundário de Fortaleza — Ceará, com catorze puérperas que se encontravam em Alojamento Conjunto. Os dados foram coletados em agosto e setembro de 2009, por meio de entrevista semiestruturada. Os depoimentos foram organizados segundo a técnica de Análise de Conteúdo. As descrições do trabalho de parto e parto enfatizaram alívio pela superação da dor e felicidade em poder ter o filho nos braços, porém a sensação de dor foi apresentada como critério para classificar o momento como negativo, apesar de necessária ao nascimento. Conclui-se que a vivência do trabalho de parto deve ser levada em consideração, pois traz repercussões à participação da mulher na parturição. DOI:https://doi.org/10.15253/2175-6783.2010011esp00004

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)0.002
metaresearch head score (Gemma)0.008
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.362
Teacher spread0.329 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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