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Record W6959539410 · doi:10.11575/prism/35918

Renewable Energy Alternatives For Remote Aboriginal Communities In British Columbia Canada

2014· other· en· W6959539410 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2014
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyPopulationWind powerEnergy policyEnvironmental impact of the energy industryEnergy (signal processing)Fossil fuel

Abstract

fetched live from OpenAlex

The aboriginal communities in British Columbia, Canada that are not grid-­‐connected, i.e. 21 of the 25 communities, most often employ diesel generators. In this study, renewable energy options are discussed in detail, including: geothermal, hydropower,solar PV, wind energy and biomass, with dissussions of their cost and CO2 emissions. One community, Anahim Lake (Ulkatcho First Nation), was selected from a list of 17 off-­‐grid aboriginal communities currently using diesel fuel only. This community was selected since data is available on the population and current energy status. Calculations are performed to determine potential environmental, social and economic benefits related to the use of renewable energy sources. Based on location and available resources, appropriate renewable energy options are selected as possible alternatives to the use of diesel fuel. Barriers to renewable energy implementation are discussed and recommendations are provided.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.007
GPT teacher head0.164
Teacher spread0.157 · 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 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
Published2014
Admission routes1
Has abstractyes

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