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Record W6999598337

Danos massivos ao meio ambiente: a construção do ecocídio no sistema internacional penal

2022· article· en· W6999598337 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal lawRelevance (law)Criminal investigationWork (physics)International lawOrder (exchange)Criminal courtEnvironmental crime
DOInot available

Abstract

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This work investigates the evolution of the idea of ecocide - as the ultimate crime against the environment - in parallel with the development of international criminal law, in order to assess whether the crime, previously relegated to the academic field between the 1970s and 1990s, finds today a technical structure and practical relevance to be included in the International Criminal Court, a major reference of the international criminal system. In this context, we sought to contribute to the open questions surrounding the 'ecocide' initiative as an international crime, starting with the repercussion given to major environmental disasters in recent years, the existing laws and bills on ecocide in the world, and the analysis of the ICC as the appropriate Court to prosecute the crime. The approach, despite gathering elements of domestic law (when discussing cases and criminal liability), is international, focusing on the existing mechanisms and institutions of international criminal law and related ones. The research, through the inductive method, uses documentary and bibliographic research, national and international rules and procedures. Ecocide emerged as a systematic attack on the environment during the Vietnam War. But, as we saw in the following decades, the use of herbicides was not the only means of causing massive environmental damage, as in the case of oil exploration in the Niger Delta and Alberta tar sands, the chemical pollution of Bhopal, and the collapse of tailings dams in Brumadinho and Mariana, all of which were committed between negligence, with assumption of risk, and direct intent. In common, a diffuse legal response was perceived, with difficulties in determining individual and collective, national and international responsibilities, including on the issue of climate change. It was then necessary to analyze ecocide as a crime itself and its conceptual and practical development, from the draft of the Code of Crimes against the Peace and Security of Mankind, developed by the International Law Commission, to the criminal definitions consolidated in countries like Colombia and France, as well as a bills, such as Chile and Brazil. The development of the notion of ecocide was clear, starting from a vague crime exclusive to war situations in the 1970s, evolving as a tool, nonexistent until then, against the practice of massive damage to the environment. The level of detail reached today allows us to understand ecocide as a viable crime on par with other international crimes, such as genocide or crimes against humanity. Finally, in relation to the obstacles to the 'ecocide' initiative at the ICC, the existing criticisms regarding the Court's performance, the search for legitimacy, between the common law and civil law legal systems, and the analysis of the volitive elements (mens rea), sovereignty, universal jurisdiction, and ecocide as a jus cogens norm were pondered. The conclusion is that ecocide is a viable crime, with sufficient technical maturity and breadth of discourse in various forums to consider it a relatively well-defined conduct. It has also been found that the ICC is the most appropriate place to accommodate the new crime in practice, symbolizing a legal and universal limit to the massive destruction of the environment.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.010
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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