Caminhos para o Desenvolvimento Sustentável na Região do Baixo Paraíba do Sul
Bibliographic record
Abstract
The present work aims to present strategies to promote sustainable development in the Lower Paraíba do Sul and Itabapoana Hydrographic Region of the state of Rio de Janeiro (RH-IX/ERJ), from the result of the application of a system of indicators called thrivability appraisal, specially developed in light of the UN 2030 Agenda, considering integrated water resources management as the main guideline to achieve its goals. This system works as a decision support tool for water resource managers and combines the seven dimensions of sustainability with principles associated with integrated and participatory water management procedures. The indicator system was developed at the regional level, starting from the case of RH-VIII (Rio de Janeiro, Brazil) and the Regional District of Nanaimo (Vancouver Island, Canada). The article presents an example of the application of this methodology in the RH-IX/ERJ, where the lower course of the Paraíba do Sul river basin is located. We conclude that the the socio-environmental system (SSA) under study has positive aspects, but also weaknesses in relation to the sustainability principles that constitutes the thrivability appraisal, and suggest alternatives to overcome the detected challenges, taking advantage of its potential
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".