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Record W2157611347

The social cost of new construction residential space heating in British Columbia

2006· dissertation· en· W2157611347 on OpenAlexfundaboutno aff
Karen Gorecki

Bibliographic record

VenueSummit (Simon Fraser University) · 2006
Typedissertation
Languageen
FieldEnergy
TopicEnergy Efficiency and Management
Canadian institutionsnot available
FundersBC HydroDuke Energy
KeywordsSubsidyEquity (law)Environmental economicsElectricityPoliticsPublic economicsGreenhouse gasContext (archaeology)EconomicsBusinessFinanceNatural resource economicsEngineeringPolitical scienceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Two potential policy approaches and subsequently four policy options are analysed for their potential to reduce the social cost of electric space heating in British Columbia. A fuel neutral, as opposed to a fuel switching policy approach is recommended based on marginal economic costs, greenhouse gas emissions intensities, consumer costs, and the political/policy context. No market failure and, as such, no justification for policy intervention in fuel choice is found. A standardized heat pump installation program, subsidies for high efficiency heating equipment, a mandatory Energuide for Houses rating, and regulating heating equipment efficiency are policy options assessed by their effectiveness, economic/financial cost, equity, administrative ease, and political feasibility. I construct a demand model to forecast the potential electricity savings, analyse private payback periods, and conduct qualitative assessment. A market-based policy, the Energuide for Houses standard is the policy option that best addresses issues of equity and political feasibility.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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 teacher head, 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
Published2006
Admission routes2
Has abstractyes

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