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Record W2796178735 · doi:10.1080/17535069.2018.1460028

Transformative change: energy-efficiency and social housing retrofits in Canadian cities

2018· article· en· W2796178735 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Research & Practice · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Calgary
FundersCanada School of Energy and Environment
KeywordsTransformative learningEfficient energy useSustainabilityPublic housingBusinessPolitical scienceEnvironmental economicsEconomic growthEconomicsEngineeringSociology

Abstract

fetched live from OpenAlex

The article provides the first comparative assessment of the energy-efficiency retrofit programs in social housing of the largest cities in Ontario, British Columbia and Alberta, focusing on program efficiency and effectiveness. The analytical framework explores key policy instruments – regulatory, fiscal and institutional – in relation to major results achieved. In terms of efficiency, the grant programs were highly relevant, timely and successful in meeting their objectives generating improvements in two-thirds of the social housing in Toronto, Vancouver and Calgary. The effectiveness was moderate, with targeted approaches to retrofits, integrating both mechanical and building envelope measures with high potential for energy savings. One of the greatest challenges was the high cost of the program, the lack of sustainability in funding and and the cost recovery of comprehensive retrofits..

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.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.114
GPT teacher head0.323
Teacher spread0.209 · 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