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Record W3213028754 · doi:10.32920/ryerson.14654121.v1

Multi-criteria assessment of new residential building envelope typologies, that meet 2012 Ontario Building code requirements

2021· preprint· en· W3213028754 on OpenAlexaffabout
Richard Roos

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsASHRAE 90.1Building envelopeBuilding codeEnvelope (radar)Architectural engineeringStakeholderEnvironmental scienceFrame (networking)Code of practiceCivil engineeringComputer scienceEngineeringConstruction engineeringMeteorologyMechanical engineeringGeography

Abstract

fetched live from OpenAlex

In keeping with Canada’s climate change mitigation goals, the 2012 Ontario Building Code will demand higher levels of insulation than in current practice. Rapid changes to higher RSI levels will force light frame home builders to employ building envelope designs that are hitherto untried, and therefore present risks in terms of durability and efficiency. To address the disparate issues in choosing design options with respect to OBC 2012 requirements and beyond, seventeen wall assembly configurations were analyzed in terms of heat transfer, moisture safety, environmental impact and costs, for new residential housing in Ontario. ASHRAE Standard 160P was used to determine the moisture safety of the wall assemblies. Furthermore, a new technique for analyzing hygrothermal performance was developed where the maximum number of consecutive daily average relative humidity levels that exceeded 80% were quantified and analyzed. An overall normalized score was awarded to each wall to assist stakeholder decision-making processes.

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)0.006
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: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.350
Teacher spread0.269 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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