Sustainability Indicators in Solid Waste Management: A Case Study in a Developing Country
Bibliographic record
Abstract
The generation of municipal solid waste (MSW) has been crescent. Due to this, there is a growing concern about MSW disposal. Whitin a scenario of limited financial resources, the management of MSW may be a challenge for Brazilian municipalities. Indicators can be effective instruments for assessing MSW management, as well as local socioeconomic and socio-environmental aspects. Thus, this work aimed at characterizing the MSW management in regions of the Brazilian state of Minas Gerais through an analysis of socioeconomic and sustainability indicators, considering the 10 years since the Brazilian National Solid Waste Policy. For this purpose, indicators of MSW management and socioeconomic development of municipalities of Minas Gerais were analyzed. The statistical analysis evidenced some characteristics reported in literature. Furthermore, MSW management indicators were not directly related to the available data on basic sanitation in the territories. Results also evidenced a lack of financial and economic sustainability of MSW management in the municipalities.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".