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Record W2905302417 · doi:10.1007/978-94-6265-267-5_12

Nuclear Law, Oversight and Regulation: Seeking Public Dialogue and Democratic Transparency in Canada

2018· book-chapter· en· W2905302417 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.

fundA Canadian funder is recorded on the 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

VenueT.M.C. Asser Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
FundersUniversity of Manitoba
KeywordsTransparency (behavior)Public administrationPolitical scienceCommissionGovernment (linguistics)Public participationNuclear energy policyDemocracyRadioactive wasteBusinessLawNuclear powerPoliticsEngineering

Abstract

fetched live from OpenAlex

To begin public discourse on acceptable policies and strategies surrounding Canada’s continued reliance on nuclear energy and the waste legacy it generates, this chapter explains the work of the Canadian Nuclear Safety Commission (CNSC), the regulatory body which oversees Canada’s nuclear industry. The authors describe the federal laws surrounding nuclear licensing and environmental approvals. They comment on current plans relating to radioactive waste disposal and emergency planning in light of the Fukushima Daiichi accident. They conclude that to strengthen the independence of the CNSC, opportunities for meaningful public participation should be developed, Indigenous engagement in CNSC decision-making processes be affirmed, and the federal government’s role and responsibilities for nuclear emergency management clarified.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.246
Teacher spread0.200 · 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