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Record W7111636420

Satisfaction in Indigenous Women Served in the Obstetrics and Gynecology Service of an Esa with an Intercultural Birth Approach According to the Sispi During the Third Quarter of the Year 2023.

2024· article· es· W7111636420 on OpenAlexaboutno aff

Bibliographic record

VenueMinerva Digital Library (Universidad EAN) · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicGender, Health, and Social Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousQuarter (Canadian coin)Health servicesPregnancyService (business)Breastfeeding
DOInot available

Abstract

fetched live from OpenAlex

La mortalidad materna en mujeres indígenas continúa siendo un reto en salud pública a nivel mundial por lo cual en Colombia el ministerio de salud procurando la mejora en general de la salud materna y en específico de los indicadores de mortalidad materna y morbilidad materna extrema ha diseñado la ruta integral de atención materno perinatal, en la cual se incluye la adaptación de la ruta a grupos étnicos y los derechos incluidos en el SISPI quien se articula con el sistema de salud General de Salud y Seguridad Social (Resolución 3280, 2018). Ante lo cual ya varias instituciones han instaurado el parto intercultural dentro de sus protocolos de atención, es por ello que se busca determinar el nivel de satisfacción de las mujeres indígenas atendidas con enfoque de parto intercultural de una ESE de acuerdo con el SISPI mediante el desarrollo de un estudio cuantitativo, observacional, descriptivo de tipo transversal.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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