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Record W7068080071

In the Name of Energy Sovereignty

2022· article· en· W7068080071 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyEnergy policyGovernment (linguistics)SubsidyEnergy securityEnergy (signal processing)TreatyRenewable energyEnvironmental impact of the energy industryEnergy law
DOInot available

Abstract

fetched live from OpenAlex

Throughout history, the phrase "In the name of the King" justified actions that trumped the rights of citizens in order to safeguard the interests of the Crown. Today, in the name of energy sovereignty, states deploy the government apparatus to access oil and gas in other parts of the world, build pipelines on private lands, subsidize renewable energy, and nationalize their oil and power industries. States justify each of these actions by noting that they create a sense of energy independence, ensure security, or achieve other social and economic goals. Energy, however, cannot be trapped in one "realm." Its nature is to move across human-created jurisdictions and to settle, at least in the cases of oil and gas, in specific geological formations where extraction is not always economically feasible. Additionally, energy evolves with technological advancements and its production must adapt to new challenges, like those posed by the global climate crisis. Thus, an efficient and reliable energy sector that "secures" the state requires engagement with other foreign powers to regulate the trade and investment of energy and its sources. States, however, have created a web of often inconsistent treaties, reflecting competing and frequently contradictory energy policy goals. When disputes inevitably arise, arbitrators or committees must balance the parties' competing energy goals. This Article introduces the concept of energy sovereignty as a novel analytical framework to explain the fragmentation and inconsistencies in international energy governance. By introducing archetypical energy sovereignties, this Article provides a framework through which interpreters of trade and investment agreements can balance the competing energy goals that are attached to the agreements. In doing so, this Article demonstrates how ignoring the complexities in the way states exercise their energy sovereignties can undermine integrated regional efforts to deal effectively with energy challenges like reducing carbon emissions or building a cost-effective and resilient energy matrix. This Article uses the United States-Mexico-Canada Agreement (USMCA), the latest North American international trade and investment agreement, to show how the archetypical energy sovereignties conflict with each other and how the USMCA's dispute resolution mechanisms may balance them.

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)0.007
metaresearch head score (Gemma)0.012
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 score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0070.057
Scholarly communication0.0120.017
Open science0.0020.006
Research integrity0.0080.014
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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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
Published2022
Admission routes1
Has abstractyes

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