MétaCan
Menu
Back to cohort
Record W2065220538 · doi:10.1017/s1474745614000317

Renewable Energy and Government Support: Time to ‘Green’ the SCM Agreement?

2014· article· en· W2065220538 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

VenueWorld Trade Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyRenewable energyTreatyGreenhouse gasIncentiveFeed-in tariffTariffGovernment (linguistics)Energy subsidiesFossil fuelInternational tradeEconomicsBusinessDutyNatural resource economicsPublic economicsEnergy policyMarket economyPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Abstract Many governments provide subsidies to shift from ‘dirty’ but cheap fossil fuels to ‘clean’ but expensive renewable energy. Recently, public incentives in the renewable energy sector have been challenged through both dispute settlement procedures of the World Trade Organization and domestic countervailing duty investigations. One may expect that trade frictions in this field will intensify over time. This article argues that the Agreement on Subsidies and Countervailing Measures – a multilateral trade treaty on subsidization and anti-subsidy measures – should be revised to give more policy space to national authorities in implementing their low-carbon programmes. The Appellate Body made a few climate-friendly interpretations in Canada–Renewable Energy/Canada–Feed-In Tariff Program . It is now members’ turn to carry out meaningful rule-making reforms. This article explores some ways to ‘green’ the existing disciplines.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.413
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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