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Record W3032039484 · doi:10.1007/s10098-020-01859-2

Diverse community energy futures in Saskatchewan, Canada

2020· article· en· W3032039484 on OpenAlexafffundabout
Margot Hurlbert, Mac Osazuwa-Peters, Jeremy Rayner, David Reiner, Petr Baranovskiy

Bibliographic record

VenueClean Technologies and Environmental Policy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsUniversity of SaskatchewanUniversity of Regina
FundersEngineering and Physical Sciences Research CouncilUniversity of Saskatchewan
KeywordsRenewable energySituatedContext (archaeology)Focus groupFossil fuelCoalNatural resource economicsWind powerBusinessProduction (economics)Futures contractGeographyEnvironmental protectionPolitical scienceEnvironmental resource managementEnvironmental scienceEngineeringEconomicsMarketingWaste managementArchaeology

Abstract

fetched live from OpenAlex

Abstract This research explores peoples’ place attachment and context surrounding power production and energy futures. Facilitated, deliberative focus groups were conducted as comparative case studies in three fossil fuel-dependent cities in Saskatchewan Canada: Estevan (situated next to the provincial centers of coal, oil and gas production), Saskatoon (situated more northerly and furthest from coal, oil and gas production) and the capital city of Regina. (situated between the other two communities). This study supports the conclusions: (1) participants believed the focus groups improved their knowledge surrounding power production; (2) although there is strong support for wind and solar power production, there is a gap in implementation; and (3) place-based location impacts perceptions of power production sources. Participants were surveyed before and after focus group meetings to explore the perceptions and preferences of power productions sources. All three communities favored renewables in the order of solar and wind. Estevan, supported carbon capture and sequestration (CCS) to a greater degree and perceived much lower risk surrounding CCS than the other two communities. This may be explained by information gaps in this community. Participants were far less likely to believe a climate crisis is occurring, and while recognizing health concerns surrounding coal, they spent considerably more time discussing the loss of coal and its impact on their economy. Saskatoon, the community furthest from coal oil and gas production, spent considerable time discussing renewables, and when asked about coal, oil and gas identified the need to transition and retrain dependent workers. Although the uranium sector is present in Saskatchewan and in closer proximity to Saskatoon, there was little knowledge or support for new small modular nuclear reactors. Graphic abstract

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.050
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0130.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designQualitative · Other design
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

Citations24
Published2020
Admission routes3
Has abstractyes

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