Inadimplência nos serviços de água e esgotamento sanitário em Manaus/AM: uma análise dos impactos da pandemia
Bibliographic record
Abstract
O desemprego, a queda na renda e a alta da inflação no Brasil no período pandêmico afetaram as famílias e seus níveis de endividamento, comprometendo sua capacidade de pagamento, inclusive, de serviços básicos como energia elétrica, água e esgotamento sanitário. Este trabalho objetivou, de forma geral, analisar o endividamento dos clientes dos serviços de água e esgotamento sanitário do município de Manaus/AM, antes e após a pandemia do Covid-19. Trata-se de pesquisa quantitativa e qualitativa descritiva, tendo se utilizado de informações da prestadora dos serviços no município. Observou-se que houve um aumento significativo do endividamento dos clientes após o início da pandemia, com destaque para as economias comerciais e residenciais, a situação geral foi de piora no quadro de endividamento, tanto em termos de novos devedores quanto em termos de valores devidos, cabendo ao poder público a tomada das medidas cabíveis.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".