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Record W2953439837 · doi:10.29173/mocs126

Consequences of the BC Energy Step Code on Offsite Construction

2019· article· en· W2953439837 on OpenAlexaffvenueabout
Guido Wimmers, Alison Conroy

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2019
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsSustainabilityEfficient energy useBuilding codeBuilding envelopeArchitectural engineeringConstruction industryNorm (philosophy)Civil engineeringEngineeringEnvironmental economicsConstruction engineeringGeographyPolitical scienceEconomicsMeteorology

Abstract

fetched live from OpenAlex

In Canada, off-site construction is still the exception rather than the norm when it comes to wood construction. In Europe’s Alpine Region or Scandinavian countries, off-site construction is standard when it comes to wood construction. This paper will focus on the reasons why Canada’s wood construction industry will shift from mainly on-site to mainly off-site construction over the next 10 to 15 years. In countries with relatively demanding requirements on energy efficiency and air tightness, off-site construction has been dominating the market for more than 20 years. British Columbia adopted the BC Energy Step Code in 2017, a roadmap defining the energy efficiency of buildings over the coming years leading up to 2032, when all new construction will be required to be Net Zero ready. It is expected that the National Building Code of Canada will also encourage higher energy performance levels in the near future. Consequently, thermally better-performing envelopes will have to be produced and rigorous air tightness levels will have to be achieved for the sustainability goals given by the province. Envelope assemblies will get thicker, bulkier and heavier to meet these requirements. In this regard, a market shift to a greater amount of off-site construction is likely to be experienced to meet these targets in a controlled environment. This study is exploring the direct and indirect connections between sustainability and energy efficiency requirements given by codes to technical and cost-efficient solutions offered by industry.

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)0.008
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: none
Teacher disagreement score0.070
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.003
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.005
GPT teacher head0.175
Teacher spread0.169 · 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

Citations1
Published2019
Admission routes3
Has abstractyes

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