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Record W4396755447 · doi:10.61838/kman.isslp.2.1.2

The Utilitarian Approach to Environmental Law: Balancing Costs and Benefits

2023· article· en· W4396755447 on OpenAlexaff
Sepehr Khajeh Naeeni

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsLakehead University
Fundersnot available
KeywordsEnvironmental lawEconomicsLaw and economicsLawPolitical science

Abstract

fetched live from OpenAlex

This article examines the utilitarian approach to environmental law, evaluating its effectiveness in balancing economic development with ecological preservation. Through a detailed review of literature and analysis, we explore the ethical underpinnings, applications, and limitations of utilitarianism in environmental policy-making, alongside alternative ethical frameworks including ecocentrism, biocentrism, rights-based approaches, deontological ethics, and the Capability Approach. The methodology involves a comprehensive literature review, focusing on theoretical explorations and case studies that illustrate the utilitarian approach in action, as well as its criticisms and the corresponding strengths of alternative ethical perspectives. Our findings reveal that while the utilitarian approach offers a pragmatic framework for decision-making by emphasizing the maximization of overall welfare, it faces significant challenges. These include the potential for overlooking social inequities, difficulties in quantifying long-term ecological impacts, and a tendency to value nature solely for its utility to humans. In contrast, alternative ethical frameworks provide valuable insights into the intrinsic value of nature, the importance of considering rights and duties, and the need for policies that ensure fair distribution of environmental benefits and burdens. In conclusion, the article argues for a pluralistic and integrative approach to environmental governance. It suggests that drawing on the strengths of both utilitarian and alternative ethical frameworks can lead to more nuanced, just, and sustainable environmental laws and policies. This approach necessitates ongoing dialogue among diverse stakeholders, aiming to reconcile economic development with moral obligations to present and future generations, as well as the non-human world. Through such collaborative efforts, we can better navigate the complex ethical landscape of environmental conservation and governance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.819

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 studies0.0010.000
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 head0.019
GPT teacher head0.258
Teacher spread0.239 · 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.

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

Citations4
Published2023
Admission routes1
Has abstractyes

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