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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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.191
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

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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