A tutela jurisdicional do desenvolvimento sustentável na perspectiva do direito ambiental no Brasil, nos Estados Unidos e no Canadá (The Jurisdictional Protection of Sustainable Development from the Perspective of Environmental Law in Brazil, the United States and Canada)
Bibliographic record
Abstract
Portuguese Abstract: No argo e abordada, sob a oca do direito comparado, a legimida- de processual para a tutela do meio ambiente e a promocao do desenvol- vimento sustentavel. Sao invesgadas cienficamente, com um vies crico, doutrina e jurisprudencia sobre a materia nos Estados Unidos e no Canada. Constam no argo avaliacoes da recente jurisprudencia do Superior Tribunal de Jusca (STJ) e do Supremo Tribunal Federal (STF) sempre relacionadas com a doutrina e a legislacao de regencia que regula o meio ambiente e o desenvolvimento sustentavel no Brasil. English Abstract: The article addresses, from the perspective of comparative law, the procedural legitimacy for the protection of the environment and the promotion of sustainable development. It scientifically investigates, with a critical bias, the doctrine and doctrine and case law on the subject in the United States and Canada.The article includes evaluations of the recent jurisprudence of the Superior Court of of Justice (STJ) and the Federal Supreme Court (STF) always related to the doctrine and legislation that regulates the environment and sustainable development in Brazil.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".