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Record W4411461193 · doi:10.1111/cag.70018

Community‐appropriate bioenergy resource potential assessment in Pelican Narrows, Saskatchewan

2025· article· en· W4411461193 on OpenAlexafffundvenueabout
SK Asante, Didar Islam, Tayyab Shah, Drew Dorion, Bram Noble, Greg Poelzer, Kirby Calvert, Rebecca Jahns, Omar Farag

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsQuest University CanadaUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of CanadaMitacs
KeywordsResource (disambiguation)Environmental resource managementRenewable energyBioenergyIndigenousLocal communityEnvironmental planningBusinessEnvironmental economicsGeographyEnvironmental scienceEcologyComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Bioenergy is a promising renewable energy option for energy insecure communities across the boreal region. Whilst community energy planning tools are advancing, many are driven by external technical resource assessments and fail to capture local community values. Community energy solutions must be community‐appropriate. This research combines spatial tools with participatory mapping to assess bioenergy resource potential for the northern Indigenous community of Pelican Narrows, Saskatchewan. Results show that sufficient resources are available near the community to support local bioenergy production needs, whist respecting culturally significant and traditional use areas and ensuring that resources can be harvested within proximity of the community and road networks. The assessment approach demonstrates the utility of spatial and participatory tools to address the data challenges related to biomass resource assessment in remote northern contexts and to ensure community‐appropriate energy solutions. The research responds to increasing calls in energy geography scholarship for energy transition planning that is spatially relevant, grounded in technical realities, and accountable to community values, expectations, and aspirations .

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.013
Science and technology studies0.0040.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2025
Admission routes4
Has abstractyes

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