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Record W1499885499

Energy Trade Issues: Canadian Experiences and Implications for Bangladesh

2003· preprint· en· W1499885499 on OpenAlexaboutno aff
Wenguo Cai, Sarah Geddes

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy sectorLiberalizationDeregulationInvestment (military)International tradeEnergy (signal processing)Energy securityBusinessInternational economicsFree tradeEnergy policyEconomicsEconomic growthEconomic systemPolitical scienceMarket economyPoliticsRenewable energyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This paper identifies areas of common interest for Bangladesh in terms of energy use and energy trade through an examination of Canada’s experience in developing its energy sector. The paper outlines the general principles and provisions applicable to energy trade under the World Trade Organization (WTO), and examines how issues of energy security and regional cooperation are dealt with in NAFTA. The paper also provides an overview of Canada’s transition from a highly regulated energy regime to the implementation of deregulation and liberalization of trade and investment and its impact on the natural gas industry and it also focuses on the role of institutions in the regulation of Canada’s energy sector. The study attempts to examine what lessons may be drawn for Bangladesh from the Canadian experience of the development and regulation of the energy sector.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.013
Science and technology studies0.0200.004
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.001

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 head0.049
GPT teacher head0.293
Teacher spread0.244 · 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 designObservational
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

Citations2
Published2003
Admission routes1
Has abstractyes

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