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Record W1824144917 · doi:10.14288/acme.v4i2.734

Risk, Scale and Exclusion in Canadian Nuclear Fuel Waste Management

2015· article· en· W1824144917 on OpenAlex
Anna Stanley

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsNuclear powerNuclear industryScholarshipRadioactive wasteNuclear fuelScale (ratio)Political scienceBusinessEngineeringLawGeographyNuclear engineeringWaste management

Abstract

fetched live from OpenAlex

Since the mid 1980’s Canada’s plans for nuclear fuel waste (NFW) management, and the authority and knowledge of the nuclear industry have been brought into question. One of the most significant contemporary challenges to the narratives and claims of the nuclear industry about the safety of NFW, its effects and its management, is the experience of Aboriginal peoples, such as the Serpent River First Nation (SRFN), with different parts of the nuclear fuel chain. This paper interrogates the means through which the nuclear industry (through the work of the newly formed Nuclear Waste Management Organization) maintains control over the production of knowledge about NFW and contains and redirects the challenges to their accounts presented by Aboriginal peoples. I identify a discourse of ‘modern risk’ as instrumental to the industry’s success, and using insights from recent scholarship on scale and power, examine the relationship cast between the knowledge of the nuclear industry and of the SRFN. I argue that the discourse of modern risk is a scalar discourse that normalizes the claims of the nuclear industry and disqualifies those of the Serpent River First Nation by scaling knowledge.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.683
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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

Quick stats

Citations10
Published2015
Admission routes2
Has abstractyes

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