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Record W3197082170 · doi:10.18623/rvd.v18i41.1997

ENVIRONMENTAL INFRINGEMENTS DISPUTES SOLUTIONS IN BRAZIL AND CANADA

2021· article· en· W3197082170 on OpenAlexaffabout
Daniel Freire e Almeida, Abbas Poorhashemi, Edson Ricardo Saleme

Bibliographic record

VenueVeredas do Direito Direito Ambiental e Desenvolvimento Sustentável · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Environmental Law and Policies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSettlement (finance)Economic JusticeOrder (exchange)NormativeWork (physics)Political scienceDispute resolutionLawTortPower (physics)Law and economicsEnvironmental lawSociologyEngineeringBusinessLiability

Abstract

fetched live from OpenAlex

The purpose of this paper is to verify some possibilities applicable in Brazil and Canada, with literature review from both countries, in which the peaceful settlement of disputes is used in the solution of environmental conflicts. The question that arises is whether the two countries apply this formula in order to make a proper justice and whether laws are in accordance with that purpose. In Brazil, Resolution n. 125 of the National Council of Justice and Joint Normative Instruction n. 2 (2020), allow the use of alternative solutions of controversies. Canada also allows the provinces the power to facilitate this practice in order to assist the Judiciary to establish justice more specialized. This research is based on Canadian experiences that are compatible with the Brazilian legal system, and that can offer examples of offense to the environment. In light of the research, the work provides a glimpse of the advantages of alternative means such as extrajudicial settlement of disputes, which were resolved as mere œtort in common law in Canada. In this study there are systemic reflections, with a focus on comparative law. The final considerations highlight how these mechanisms generated better solutions, increasing the efficiency of justice of countries involved.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.006
GPT teacher head0.200
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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Same venueVeredas do Direito Direito Ambiental e Desenvolvimento SustentávelSame topicInternational Environmental Law and PoliciesFrench-language works237,207