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Record W7055614031

Connecting Technology with Communities: The Case of Small Modular Reactors

2023· dissertation· en· W7055614031 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)SustainabilityWork (physics)Modular designEnergy (signal processing)Energy technologyEnergy development
DOInot available

Abstract

fetched live from OpenAlex

Indigenous people in northern and remote communities around the world share similar experience with energy systems. The history of energy development in those areas is based on the policy of ‘extractivism’ imposed by the ‘western’ world. This has led to the current situation where remote Indigenous communities often suffer from energy insecurity and energy poverty. Indigenous communities in Canada have been through transitions, not just in energy but other socio-economic sectors. Today these communities play an important role in the development of the energy profile for the country. Partnering with them to develop local clean energy production seems an obvious benefit to all parties. However, the record of these partnerships is poor, with some failing to produce the expected benefits and others failing to get off the ground at all. Recent policies push for accelerated energy transitions which create additional pressure where thorough and meaningful work with Indigenous partners is needed. In this dissertation, I research clean energy development from northern, remote, and Indigenous perspectives within the context of sustainability transitions literature. I focus on the social context of clean energy innovation development in potential application to small modular reactors (SMRs). SMRs currently have momentum as a potential technology for decarbonizing power production with recent discussions of the use of microreactors in remote communities. Since SMRs have yet to be deployed, I first review the literature on clean energy projects in northern and remote communities and outline the common features of successful projects. Next, I focus on one of these features, the role of intermediary actors and organizations, and show how intermediaries have developed distinct storylines about SMRs within the larger narrative of SMR development and deployment in Canada. Finally, I study four case studies of renewable energy projects in Indigenous communities. Using interviews with community leaders, I describe their perspectives and interests in energy projects and compare them with government and industry partners’ perspectives. The results reveal a fundamental misalignment of expectations between Indigenous communities and their partners. One of the central arguments of this dissertation is the importance of the role of Indigenous intermediaries, i.e., actors and platforms that sustain the momentum of transitions by linking actors, activities, and resources that can move easily between the communities and the larger energy production context. The work of Indigenous intermediaries reveals the need for the construction of a safe space where communities can frame the discussion within Indigenous worldviews and lived experience. I offer policy recommendations for how this space can be constructed and protected. Meeting this need can help in formulating policy around the successful deployment of small modular reactors (SMRs) or any other clean energy technology. Innovative features of the dissertation include reflections on the challenges of applying the Euro-centric approaches in the sustainability transitions literature in non-European environments, including remote, northern and Indigenous communities; a systematic review of the lessons from renewable energy case studies from sustainability transitions literature, their practical application in the context of SMR development, and community-based case studies of clean energy projects in application to SMRs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0300.023
Scholarly communication0.0110.012
Open science0.0030.019
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.012
GPT teacher head0.197
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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