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Record W3000325932 · doi:10.1061/9780784415528.ch06

Towards Formulating a National Guideline on the Design of Building Enclosures Subjected to Climate Change in Canada

2020· book-chapter· en· W3000325932 on OpenAlexaffabout
Abhishek Gaur, Michael Lacasse

Bibliographic record

VenueAmerican Society of Civil Engineers eBooks · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsGuidelineClimate changeEnvironmental scienceArchitectural engineeringEnvironmental resource managementEngineeringCivil engineeringPolitical scienceGeologyOceanography

Abstract

fetched live from OpenAlex

This chapter identifies key research priorities for fulfilling a subset of the work under the Climate-Resilient Buildings and Core Public Infrastructure project that relate to the health and safety of building occupants under projected changes in climate. In particular, (dis)comfort and mortality of occupants because of future projected overheating of building enclosures and the performance of common wall assemblies used in Canada under extreme wind-driven rainfall events are of interest. These climate hazards were selected because Canada is projected to undergo large increases in temperature in the future. Premier health agencies have identified future increases in temperature as a potential health risk for Canadians. Similarly, wind-driven rain has been identified as a critical climate load for the assessment of hygrothermal performance of building envelopes.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0050.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.005

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 head0.068
GPT teacher head0.254
Teacher spread0.187 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes2
Has abstractyes

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