Research Impact Report - Law, Sanitation and Sustainability - Claudio Antonio Klaus Jr
Bibliographic record
Abstract
In the pursuit of sustainable development, the intersection of law, sanitation, and sustainability plays a pivotal role in promoting public health and improving quality of life. This dissertation, titled "Direito, Saneamento e Sustentabilidade," delves into a comparative analysis between municipalities in the State of Santa Catarina, Brazil, and the Province of Ontario, Canada, with a focus on Sustainable Development Goals (SDGs) 6 and 11. The relevance of sanitation practices in shaping communities is undeniable, and this research endeavors to go beyond academic conventions. Through high-quality scholarship, we explore the reciprocal relationship between academia and the communities of Caçador, Videira, Concórdia, Sault Ste. Marie, Thunder Bay, North Bay, Chatham-Kent, Woodstock, and Kenora. Engaging with stakeholders, our research reflects their influence on the journey, ensuring a mutual exchange of knowledge. At the heart of our research lies a commitment to identifying and addressing the pressing needs of the communities involved. By closely examining access to household sanitation, specifically potable water and sewage disposal, our work strives to provide insights that resonate with the lived experiences of individuals in both Brazilian and Canadian municipalities. This dissertation breaks free from the confines of academia, aiming to democratize knowledge by making it accessible and understandable to diverse audiences. In our quest for sustainability, we extend our findings beyond scholarly circles, ensuring that the implications of our research reach those directly impacted by sanitation practices. Our commitment to engaged scholarship is evident in the interdisciplinary collaboration that shapes this research. By transcending the boundaries between academic and non-academic communities, we seek to foster a holistic understanding of the challenges and opportunities inherent in sanitation systems. Knowledge, to be impactful, must flow bidirectionally. Our research showcases a multidirectional flow of insights between researchers and knowledge users. Tangible instances of the uptake of research knowledge are highlighted, emphasizing how our findings have been applied to bring about positive changes in actions, practices, and policies. As we conclude this dissertation, the journey transcends the realm of academia. It beckons a call for action, urging policymakers, practitioners, and communities to join hands in the pursuit of sustainable sanitation practices. The perpetuation of concessions in the sanitation sector emerges as a strategic avenue for accelerating progress, ensuring access to essential services, and advancing the cause of sustainable development. In embracing the principles of engaged scholarship, this research contributes not only to academic discourse but also to the tangible improvement of lives, echoing the spirit of reciprocity, collaboration, and sustainable change. DOI: 10.13140/RG.2.2.29810.68804
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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".