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Environmental Justice

2021· book-chapter· en· W4200384768 on OpenAlexaff
Dirk Hanschel, Elizabeth Steyn

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsWestern University
Fundersnot available
KeywordsEnvironmental justiceEconomic JusticeEnvironmental ethicsAnthropocentrismEnvironmental lawIndigenousSociologyPolitical scienceLawLaw and economicsEcologyBiology

Abstract

fetched live from OpenAlex

Abstract This chapter deals with the evolving quest to attain environmental justice. It demonstrates that there are many facets and manifestations of environmental justice—a concept that sits at the junction of legal doctrine and anthropological realities. Amalgamating these two perspectives permits us to capture examples of such injustices and to analyse how law responds to them. This investigation into environmental justice adopts a three-pronged approach. The first section, ‘The meaning and origins of “environmental justice” ’, contemplates the emergence and rise of the environmental justice movement, as well as disruptions and innovations in the ontological sense of the concept itself. The second section, ‘Litigating environmental justice’, lays out concrete facets of environmental justice from a classic anthropocentric viewpoint in a schematically organized format. Four dimensions of environmental justice litigation are delineated. In the third part of the chapter, ‘Expanding environmental justice’, we consider more holistic or ecocentric applications of environmental justice, most notably Indigenous world views and the potential recognition of the rights of nature. We conclude that environmental justice is a moving target—it can mean different things to different people in different contexts, and is constantly adapting to new realities. As topics such as climate change or loss of biodiversity show, the human–nature relationship is, indeed, among the most pressing issues of our time. Environmental justice is, therefore, likely to gain even more importance in the coming decades, and further interdisciplinary research will be required to understand what that justice may entail in very concrete and variegated circumstances.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.991
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.240
Teacher spread0.209 · 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
GenreOther

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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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