Law, Sanitation and Sustainability: a Comparative Analysis Between Municipalities in the State of Santa Catarina, Brazil and the Province of Ontario, Canada in the Light of Sustainable Development Goals 6 and 11
Bibliographic record
Abstract
The relevance of sanitation and sustainability is manifested in the promotion of public health, improvement of quality of life, and ensuring access to basic services as essential human rights. The comparative analysis between the cities of Caçador, Videira, and Concórdia, in Santa Catarina, in Brazil, and Sault Ste. Marie, Thunder Bay, North Bay, Chatham-Kent, Woodstock, and Kenora, in Ontário, in Canada, allows for the identification of differences and similarities in sanitation systems, understanding of challenges and opportunities, and consequently, the foundation for effective public policies aimed at improving access to sanitation. The present study aims to analyze the situation of Brazilian municipalities concerning the sustainable development goals (SDGS) 6 and 11, in comparison with Canadian municipalities. The methodology employed in the research encompasses a qualitative and descriptive approach, grounded in literature review, analysis of scientific publications, legal documents, and quantitative data. The comparison focused on access to household sanitation, specifically on the provision of potable water and sewage disposal, due to the availability of information. The work mentions the main challenges faced by both countries in rural and indigenous areas. The study emphasizes the importance for Brazil to invest in infrastructure, implement effective public policies, and promote international cooperation to ensure sustainable development, as well as improving the health and quality of life of its population. Given the current regulatory context, the perpetuation of concessions in the sanitation sector in the country could be an effective strategy to accelerate the expansion and modernization of networks for potable water supply, sewage treatment, urban cleaning, solid waste management, and drainage.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".