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Record W4362510241 · doi:10.52080/rvgluz.28.102.9

Protección social en salud: política, gestión y resultados

2023· article· es· W4362510241 on OpenAlexaff
Jorge Luis Restrepo Pimienta, Wilson Alberto Nieto Ríos, Roberto de Jesús Fonseca Deluque

Bibliographic record

VenueRevista Venezolana de Gerencia · 2023
Typearticle
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Todo sistema de protección social en salud se manifiesta en instituciones fundamentales las cuales se emplean en cualquier especialidad regidas por políticas y competencias al que marcan el sentido de la gestión pública. El objetivo de este trabajo es analizar la política pública de protección en salud y los rasgos de gestión pública ejecutada por el Ministerio de Salud y Protección Social (MSPS) de Colombia que han contribuido al perfeccionamiento del sistema de salud contribuyendo a aumento de la cobertura y la transparencia en la gestión pública de protección social. La metodología utilizada consistió en el análisis de normativas jurídicos, informes administrativos y técnicos emanados por el órgano rector en materia de salud del país. Los resultados indican que la creación progresiva de mecanismos normativos para la garantía de la salud como derecho universal y rasgos de gestión propios de la modernización de la gestión pública iniciados en los noventa. Se concluye que si bien los avances son importantes es necesario avanzar en la consolidación de mecanismos de gestión de la protección social adecuados a las realidades locales.

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)0.010
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0050.010
Scholarly communication0.0110.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.018
GPT teacher head0.305
Teacher spread0.287 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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Same venueRevista Venezolana de GerenciaSame topicPublic Health and Environmental IssuesFrench-language works237,207