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Record W4378982858 · doi:10.1163/22116001-03701014

Harnessing Offshore Wind in Canada: The Regulatory Landscape for Offshore Wind Development and Lessons Learned from the United Kingdom, Denmark, and the United States

2023· article· en· W4378982858 on OpenAlex
Leah M. Robertson, Matthew J. Dorreen, Mohammad Raza

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

VenueOcean Yearbook Online · 2023
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOffshore wind powerLegislationSubmarine pipelineRenewable energyWind powerEnvironmental planningOperationalizationPort (circuit theory)Las vegasEnvironmental protectionBusinessEnvironmental resource managementEnvironmental sciencePolitical scienceEngineeringOceanographyLawGeology

Abstract

fetched live from OpenAlex

Abstract Offshore wind is a key renewable energy source which can lessen depend-ency on fossil fuels and help meet global decarbonization targets. Countries such as the United Kingdom, Denmark, and recently the United States of America, have success in operationalizing offshore wind developments. Canada, despite vast ocean resources, does not have any offshore wind projects. One reason for this can be attributed to the lack of policies to sup-port development of offshore wind projects. To date, there has been no research conducted on the legal regime for developing an offshore wind energy project in Canada. This research focuses on identifying which ear-ly-stage permits are required for offshore wind development federally and provincially, utilizing Nova Scotia as a provincial example. This article iden-tifies the relevant Canadian legislation, regulations, and decision-makers as well as makes suggestions to improve Canada’s regime. To identify regula-tory improvements that Canada could utilize, the regimes of the UK, Den-mark, and the USA are examined with a focus on their initial permit pro-cess. The proposed policy improvements relate to matters of environmental and impact assessments, seabed acquisition and licensing, as well as the administrative processes for granting required permits and consents.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.034
GPT teacher head0.240
Teacher spread0.207 · 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