Rede de apoio de familiares de crianças em pronto atendimento pediátrico
Bibliographic record
Abstract
Resumo: Estudo qualitativo que objetivou descrever a rede de apoio de familiares de crianças atendidas em pronto atendimento infantil de um município do Sul do Brasil. Os dados foram coletados com 10 familiares cuidadores de crianças atendidas em dois prontos atendimentos pediátricos no ano de 2012, residentes na zona urbana de um município do sul do Brasil. Os resultados apontaram duas categorias: Rede de apoio de familiares de crianças menores de cinco anos na busca pelo pronto atendimento; e, Condutas dos familiares mediante os problemas de saúde da criança. Concluiu-se que a rede de apoio é constituída pela família e pelo profissional médico do serviço de atenção hospitalar e que, os familiares utilizam-se do saber profissional em detrimento do saber popular.Palavras-chave: Saúde da Criança; Enfermagem Pediátrica; Acesso aos Serviços de Saúde. Network of support for families of children in pediatric emergency departmentAbstract: A qualitative study aimed at describing the support network of family members of children assisted in early child care in a municipality in the south of Brazil. The data were collected with 10 family caregivers of children attended in two pediatric consultations in 2012, living in the urban zone of a city in the south of Brazil. The results showed two categories: Support network of relatives of children under five in the search for emergency care; And, Actions of family members through the health problems of the child. It was concluded that the support network is made up of the family and the medical professional of the hospital care service and that family members use professional knowledge to the detriment of popular knowledge.Keywords: Child Health; Pediatric Nursing; Health Services Accessibility.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".