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Record W3039325686 · doi:10.37867/te100102

AN ANALYSIS OF POWER SECTOR REFORMS IN INDIA AND CANADA

2018· article· en· W3039325686 on OpenAlexfundaboutno aff
Hetal Chokshi

Bibliographic record

VenueTowards Excellence · 2018
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
FundersManitoba Hydro
KeywordsHydroelectricityElectrificationHydropowerNova scotiaElectricityRural electrificationElectric power industryGeographyEconomyAgricultural economicsEngineeringArchaeologyEconomics

Abstract

fetched live from OpenAlex

The electricity generation in Canada uses natural resources more. At present too, almost 65% of electricity is generated by hydro plants. The Nelson Electric Light Company, the first company to build a hydro site in British Columbia commenced its operation producing power for the City of Nelson on February 1, 1896. The Sandon plant was the second in March 1897. Development of the electricity sector gathered momentum after the First World War with the creation of provincial utilities in Nova Scotia, New Brunswick, Manitoba, Saskatchewan and British Columbia in the 1920s. Publicly owned electric companies emphasised mainly on rural electrification and hydroelectric development. In Manitoba and British Columbia, private companies repaidly developed the hydropower. Since 1960, large hydroelectric projects, mainly in Quebec, British Columbia, Manitoba and Newfoundland and Labrador, significantly increased the country's generation capacity

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)0.001
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.022
Science and technology studies0.0050.002
Scholarly communication0.0070.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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
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
Published2018
Admission routes2
Has abstractyes

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