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Record W1556224066

Clash of Rationalities: Revisiting the Trade and Environment Debate in Light of WTO Disputes over Green Industrial Policy

2014· article· en· W1556224066 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Commons (University of Waikato) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeRelation (database)International tradePolitical scienceLaw and economicsBusinessEconomicsPhilosophyComputer scienceLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Climate Change has found its way into the World Trade Organization through the backdoor of the profitable and contentious trade in solar and wind energy technologies. In addition to the Ontario FIT dispute critically examined in this article, there are at least five other active disputes in Geneva over aspects of trade in wind and solar technologies, with more on the horizon.
\n
\n Solar panels constitute a significant part of China’s total export sales in the EU and for more than two years its trade has overheated EU-China relations. The anti-dumping and anti-subsidy investigations that resulted have now culminated in a tentative settlement to bring Chinese solar panel prices to a “sustainable” level. Winds have been blowing more strongly on the other side of the Atlantic, though in a similar direction, where the US imposed record high rates of anti-dumping and countervailing duties on Chinese (and Vietnamese) wind towers, as well as silicon solar panels. The political economy unfolding in both cases has been quite similar: on one side - claiming unfair trade allegedly committed by the Chinese exporters - are the import-competing manufacturers of Renewable Energy (`RE’) technology, and on the other side, the rest of the RE industry, particularly generators in whose interest it is to have access to the best and cheapest equipment, regardless of origin.

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.

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)0.000
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: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.301
Teacher spread0.245 · 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