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Record W4395030942 · doi:10.29173/alr2726

Hydrogen Roadmap: Policy, Regulation, and Prospect for Future Developments in Alberta

2022· article· en· W4395030942 on OpenAlexvenueaboutno aff
Gavin Fitch, Michael Barbero, Kimberly Wasylenchuk

Bibliographic record

VenueAlberta Law Review · 2022
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
FundersOffice of ElectricityOffice of Energy EfficiencyOffice of Nuclear EnergyOffice of ScienceOffice of Fossil EnergyU.S. Department of TransportationU.S. Department of Energy
KeywordsEconomicsPolitical science

Abstract

fetched live from OpenAlex

The world is decarbonizing and stakeholders are taking steps towards transitioning from fossil fuels to alternatives. Certain governments and industries — such as those in Alberta— have a keen desire to manage this transition in a manner that lessens or avoids significant declines in economies heavily reliant on traditional oil and gas development. Hydrogen is a unique clean energy alternative put forward as a path which can balance these tensions. This article provides a high-level overview of hydrogen, including what makes it attractive as a “clean” fuel as well as its limitations, and examines domestic and international policies, regulations, and prospects for future hydrogen development. By bringing together the Alberta, federal, and international perspectives, this article aims to answer the question of whether regulatory and legislative reform is needed in Alberta to adapt to hydrogen and ultimately suggests that minor amendments to existing regimes are sufficient at this time.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.066
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0080.004
Scholarly communication0.0100.002
Open science0.0040.002
Research integrity0.0100.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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