Resolutividade no Subsistema de Atenção à Saúde Indígena (SASI-SUS): análise em um serviço de referência no Amazonas, Brasil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Problem-solving is one of the principles of the Unified Health System (SUS) in Brazil, with its ability to solve the health problems of the population at different levels of complexity. The Indigenous Health Care Subsystem (SASI-SUS) is part of this service, respecting the specificities of indigenous populations. The scope of this article is to analyze the perception of professionals and managers of an Indigenous Health Center (CASAI) regarding its ability to cope with the circumstances of the pandemic. It involved qualitative and descriptive research under the National Health Care Policy for Indigenous Peoples (PNASPI) and Paul Ricoeur's hermeneutic theory. Interviews were conducted with participants in order to record the experiences in the work process of the actors who assist the indigenous people housed at CASAI. Four essential themes were identified in the interviews: cultural care; permanent education in health & health education; negotiation & improvisation; and reception & infrastructure. CASAI is an institution that is more than a support center or accommodation, being a crossover point between the different levels of care and knowledge production of the indigenous people, as well as a place for establishing a relationship, resulting in a problem-solving space.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.050 |
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 it