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Record W4381465967 · doi:10.3233/epl-239003

Biosphere Defenders Leveraging the Human Right to Healthy Environment for Transformative Change

2023· article· en· W4381465967 on OpenAlexaboutno aff
Claudia Ituarte‐Lima

Bibliographic record

VenueEnvironmental Policy and Law · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
FundersBiodiversa+
KeywordsBiosphereHuman rightsPolitical scienceContext (archaeology)Environmental ethicsBiodiversityEnvironmental lawIndigenousAgency (philosophy)BureaucracySustainable developmentTransformative learningLawEnvironmental resource managementSociologyGeographyEcologyPoliticsSocial scienceEconomics

Abstract

fetched live from OpenAlex

Earth’s life support systems depend on biodiversity and healthy ecosystems. Without radical transformations, staying within safe planetary boundaries becomes impossible. While the inequalities between Global North and Global South are increasingly acknowledged, the agency and rights of people often placed in the category of “vulnerable” -women, youth, indigenous peoples and local communities- are not sufficiently recognized. This article discusses the role of biosphere defenders in the context of the 2022–2030 Kunming-Montreal Global Biodiversity Framework and the right to a healthy environment. Through dissecting judicial cases, the article investigates promising examples of ways in which biosphere defenders use the law to trigger societal change. This article finds that biosphere defenders contribute to unleashing values of responsibility by various actors, translating biocultural values of ecosystems into evidence in judicial processes impacting bureaucratic and financial systems. Supporting the work of biosphere defenders and placing the right to a sustainable environment at the heart of biodiversity and human rights law will be vital in confronting head-on the planetary crises.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.326
Teacher spread0.273 · 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 designNot applicable
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

Citations8
Published2023
Admission routes1
Has abstractyes

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