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Record W2333925446 · doi:10.5840/bpej200019119

Scientific and Social Judgments of Safety in the Nuclear Fuel Waste Management and Disposal Concept

2000· article· en· W2333925446 on OpenAlexaboutno aff
Mary Jo Richardson

Bibliographic record

VenueBusiness and Professional Ethics Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessRadioactive wasteWaste managementEngineering

Abstract

fetched live from OpenAlex

In February 1998, the environmental assessment panel for Atomic Energy of Canada's (AECL) nuclear fuel waste management and disposal concept issued its report, in which it concluded that the idea of burying nuclear waste deep in the Canadian Shield is not acceptable as it stands, because it has not been demonstrated to have broad public support.1 The report offers an intriguing analysis of the concept of safety, according to which there are two perspectives one can take to evaluate whether a project is safe, a technical perspective and a social perspective. According to this analysis, the proposal for burying nuclear waste in the Canadian Shield could be judged to be safe from one perspective, but not from the other. In fact, the panel concluded that burying nuclear waste in rock is safe from a technical point of view, but that it has not been shown to be safe from a social point of view, for which reason it found the project to be unaccept able at this time. In this paper I explore the analysis of the concept of safety that led the panel to adopt this curious conclusion. I argue that the panel's analysis represents an advance over many such discussions, because it legitimizes the understanding of the concept of safety held by the general public, which is based on the idea of protection from harm. However, I conclude that the analysis ultimately fails because it does not

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.047
GPT teacher head0.351
Teacher spread0.304 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2000
Admission routes1
Has abstractyes

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