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Record W2955729678 · doi:10.25071/ryr.v2i0.40385

United We Stand, Divided We Fall: The Case for a World Environment Organization

2015· article· en· W2955729678 on OpenAlexaboutno aff
Sachin Persaud

Bibliographic record

VenueRevue YOUR Review (York Online Undergraduate Research) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsnot available
Fundersnot available
KeywordsMandateEnforcementNormativePolitical scienceObligationMoral obligationPublic administrationBusinessLaw

Abstract

fetched live from OpenAlex

The first global response to the impending crisis of climate change occurred with the creation of the United Nations Environment Programme (UNEP) in 1972. Since then, conferences have been convened, agreements have been adopted, and another body has been formed without any substantial global progress on the environment having transpired. I examine how current institutional arrangements have failed and prescribe the construction of a World Environment Organization (WEO) as a normative remedy. Such a body would need to be well resourced, with its mandate expanded to the effect that it could compete against the legally binding edicts of the World Trade Organization (WTO). A WEO could also replace dishevelled inter-state action on climate change with centralized, international agreement, implementation, and enforcement of initiatives. I also explore the moral obligation the industrialized North has to assist the underdeveloped South in actualizing the latter’s environmental commitments, and mechanisms that would give the South a greater degree of decision-making power than it presently has. Liberal market environmentalism, an anti-thesis to the proposed WEO, is explained and rebutted. The role of Canada’s current administration in the global response to environmental degradation is likewise studied and critiqued. Though the conclusions I draw from my survey of the literature are normative, I utilize various examples in current affairs to suggest that a productive, cooperative WEO can realistically be consummated.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.222
GPT teacher head0.364
Teacher spread0.142 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes1
Has abstractyes

Explore more

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