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Record W4390577762 · doi:10.33002/jelp030303

International Trade and Environmental Protection: Revisiting Hardin’s “Tragedy of the Commons”

2023· article· en· W4390577762 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Environmental Law & Policy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceInternational tradeTragedy of the commonsMainstreamTrade barrierTrade secretLaw and economicsCommonsPolitical scienceEconomicsBusinessLawIntellectual property

Abstract

fetched live from OpenAlex

Twenty-eight years after the emergence of the World Trade Organisation (WTO) regime, the trade-environmental protection relationship seems to have achieved some harmonisation from an initial chequered one, though not without some forms of lopsided balancing of the variables. This work explores the relationship between international trade and the environment, revealing whether the competing values are balanced. The methodology adopted is doctrinal, with a comparative and analytical approach involving desk and library research. The work is bifurcated into six parts, commencing with an introduction in the first: the second flesh out international environmental agreements relevant to the trade-environment interaction. The third part examines principles of international environmental law. The paper reflects unilateral trade measures in the fourth part. The fifth part takes stock of WTO jurisprudence. While considerable efforts have been made to mainstream environmental protection into trade objectives through the WTO jurisprudence, there remain some forms of market failures, making the trade-environment relationship lopsided, with inadequate attention given to the environment, which brings to fore the need to revisit David Hunter’s metaphoric invisible elbow destroying the common goods created by an invisible hand.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.354

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 studies0.0000.001
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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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
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

Citations1
Published2023
Admission routes1
Has abstractyes

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