MétaCan
Menu
Back to cohort

Estratificação Econômica e a Mortalidade em Menores de até 5 anos em Augustinópolis, Tocantins

2022· article· pt· W4312287213 on OpenAlexaboutno aff
Milka Brasil Costa Sousa, Ildjane Teixeira Morais da Luz, Moacir José dos Santos, Adriana Leônidas de Oliveira

Bibliographic record

VenueRevista Cereus · 2022
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)DemographyMortality ratePopulationGeographyDemographic economicsJumpEconomicsSocioeconomicsEconomySociologyArchaeology

Abstract

fetched live from OpenAlex

The study aims to analyze the relationship between economic stratification and mortality in children under 5 years of age in the city of Augustinópolis, Tocantins. This is a descriptive research with a quantitative approach of documentary nature, using the Household and Territorial Registration Report of the Department of Primary Care (e-SUS) from 2015 to 2018 and the Report of the Mortality Information System (SIM) of the Frequency of Infant Deaths from 2012 to 2018. The study showed the existence of local economic disparities, as in 2018, 17.05% of families had as income only ¼ (one quarter) or half the minimum wage. There is a jump in the mortality rate from 2013 to 2014, a period of slowdown in the Brazilian economy. In 2017, an increase in the local economy was observed, which in line with this was shown to be a shorter period of mortality. It is believed that mortality rates need to be seen from an economic point of view, so that strategies are put in place to improve the population's living conditions.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.386
Teacher spread0.325 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista CereusSame topicMaternal and Neonatal HealthcareFrench-language works237,207