Preterm birth: temporal trends and socioeconomic inequalities
Bibliographic record
Abstract
As desigualdades socioeconômicas na saúde perinatal foram observadas consistentemente em muitos países de rendas alta, média e baixa 1 .Quantificar e monitorar as desigualdades socioeconômicas na saúde é um importante primeiro passo com relac ¸ão à reduc ¸ão da desigualdade em saúde e à melhoria na saúde populacional.O Brasil está entre os países com as maiores desigualdades na posic ¸ão socioeconômica e em saúde.2,3 Nesta edic ¸ão do Jornal de Pediatria, de Sadovsky et al. 4 relataram desigualdades de renda no nascimento prematuro (NP, < 37 semanas completas de gestac ¸ão) na cidade de Pelotas por 30 anos.Os autores estimaram o índice angular de desigualdade (IAD) e o índice relativo de desigualdade (IRD) da renda nas taxas de NP entre quase todos os nascimentos em Pelotas em 1982, 1993, 2004 e 2011.As diferenc ¸as relativas e absolutas em saúde entre os grupos fornecem informac ¸ões diferentes e complementares, que podem levar a diferentes conclusões, principalmente
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".