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Record W7015002038

âReverse Permissibilityâ in renewable energy sector: Going beyond the US â India solar cells dispute

2016· article· en· W7015002038 on OpenAlexaboutno aff

Bibliographic record

Venuee-publications@bond (Bond University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyRenewable energyTariffEnergy subsidiesFeed-in tariffGovernment (linguistics)Status quoState (computer science)Promotion (chess)
DOInot available

Abstract

fetched live from OpenAlex

Recent years have witnessed a rise in conflict between WTO members over the use of state subsidies designed to promote the renewable energy sector. Government subsidies are seen by domestic polic-ymakers as a key catalyst in attracting foreign investment, building capacity, and meeting other domestic policy goals. However, subsidies and other state incentivization programmes often carry trade-distorting effects. This paper examines the current state of WTO law and jurisprudence on subsidies extended to achieve environmental goals, in particular the Canada-Renewable Energy/Feed-in Tariff case and the more recent India-Solar Cells case which higlights the localization problem in the renewable energy sector. The case outcome shows that the WTO continues to maintain the status quo by prioritizing free trade over environmental considerations. The paper also discusses the possibility of reform in the GATT/WTO framework for promotion of renewable energy initiatives while maintaining the integrity of the system.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.210
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2016
Admission routes1
Has abstractyes

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