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Record W7111459056

Shallow Depths: Reproductions of Nuclear Landscapes and Anomalies of Consent at Chalk River

2025· other· en· W7111459056 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousOpposition (politics)LegitimacyLicenseIndigenous rightsPoliticsMandateEnforcement
DOInot available

Abstract

fetched live from OpenAlex

Scholars and Indigenous communities increasingly urge courts and regulators to uphold the principle of “free, prior, and informed consent” (FPIC) as articulated in the United Nations Declaration on the Rights of Indigenous Peoples. In Canada, the Nuclear Waste Management Organization (NWMO) has ostensibly embraced FPIC through its “willing host model,” designed to identify potential sites for a deep geological repository (DGR) to house radioactive waste. In this doctoral research, I examined the siting process for a Near Surface Disposal Facility (NSDF) in Chalk River, Ontario. I attended public hearings and community meetings as part of close empirical work documenting opposition to the proposed NSDF. In this dissertation, I demonstrate how opposition, and Indigenous refusal in particular, is generative in terms of political and regulatory shifts toward asserting and advancing Indigenous rights. The research raises the question of why the willing host model is appropriate for the DGR, but not the NSDF. I argue that consent, in this framework, is used a tool to manage and generate legitimacy in order to secure a bare minimum social license to operate. In practice, the willing host model exhibits the hallmarks of a “divide and conquer” strategy, with people in neighbouring communities being pitted against each other as they weigh the very uncertain costs and benefits of nuclear waste storage proposals. My research demonstrates that a major barrier to workable consent processes is the significant time and resources required to implement them. Effective frameworks must account for the complex and differentiated geographies of risk and impact, the intergenerational effects, and the cumulative social and financial costs, including the exacerbation of intra- and inter-community divisions. This dissertation disentangles tensions of the NWMO's willing host model, with the ultimate vision of 'scaling up' consent-processes to broader extractive contexts. This research advances critical human geography and environmental justice literatures by teasing out how spatial and local political-economic-social contexts shape both decision-making and its outcomes—specifically, how these contexts influence the operationalization of consent-based policies, the mechanisms through which consent is negotiated, and the extent to which the nuclear waste siting process is deliberative, fair, and just.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.102
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.160
Teacher spread0.150 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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