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Record W6981501108

Energy transition in light of WTO regulations. Perspectives, analysis and lessons from the Canada – Renewable Energy case

2025· article· es· W6981501108 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional E-DocUR (Universidad Del Rosario) · 2025
Typearticle
Languagees
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Energy transitionEnergy policyRenewable energyLatin Americans
DOInot available

Abstract

fetched live from OpenAlex

Canadá – Energía renovable hace parte de un conjunto de controversias resueltas por el Órgano de Solución de Diferencias de la Organización Mundial del Comercio que refleja las tensiones ampliamente reconocidas entre comercio y medio ambiente. En concreto, la citada disputa se refiere al fomento estatal a la transición energética y se suele presentar como un avance significativo ante los obstáculos que impone la normativa internacional para la descarbonización de la economía. Sin embargo, este progreso no es absoluto. Como sostendrá este texto, si bien el Órgano de Apelación elaboró una interpretación del Acuerdo sobre Subvenciones y Medidas Compensatorias (ASMC) que resulta favorable para la evaluación de incentivos estatales a la transición energética, no hizo lo mismo respecto del Acuerdo General sobre Aranceles Aduaneros y Comercio (GATT). Por el contrario, al evaluar los programas impugnados a la luz de este último, el Órgano de Apelación reprodujo su lógica convencional, privilegiando los intereses de liberalización de los mercados sobre la inminente necesidad de acelerar la transición energética a través de políticas de fomento estatal. En esencia, considerando el panorama actual, los obstáculos para incentivar la descarbonización de las economías no están dados por el ASMC, sino por el GATT. En consecuencia, Canadá – Energía renovable sugiere que la transición energética dista de contar con un marco jurídico sólido que, en su integridad, le otorgue a los Estados un margen regulatorio suficiente para conceder incentivos económicos en esta materia.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.003
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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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