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A Review of Housing Certification Standards with a Focus on Energy Efficiency

2021· review· en· W3167341075 on OpenAlexaff
Zaiyi Liao, Claire Tam

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2021
Typereview
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCertificationEfficient energy useEnvironmental economicsEnergy conservationEnergy consumptionOrder (exchange)Energy (signal processing)Set (abstract data type)BusinessArchitectural engineeringRisk analysis (engineering)Computer scienceEngineeringEconomicsFinance

Abstract

fetched live from OpenAlex

Abstract In addition to building codes and regulations, voluntary housing certification standards also play an important role in the energy efficiency of housing. Each of these standards was established in response to a set of specific demands for high performance housing. Consequently, the energy conservation technologies and design approach applicable could be very diverse and dynamic. This paper is aimed to provide a comprehensive review for the state-of-the art housing standards with a focus on energy efficiency. It was observed that these standards normally evaluate energy efficiency based on percentage savings of the design with energy conservation measures compared to a reference case. The net-zero energy balance between energy consumption and on-site energy generation is considered the highest level of performance. This paper examines if this approach is adequate and prompts future research in order to improve the effectiveness of housing standards in defining sustainable housing.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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 designOther design
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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