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Record W4410948614 · doi:10.1080/24751448.2025.2475722

Stretch Codes and the Building Envelope

2025· article· en· W4410948614 on OpenAlexaboutno aff
Kathy Velikov, Kazi Najeeb Hasan, Geoffrey Lewis, Carol C. Menassa, Vineet R. Kamat, Geoffrey Thün

Bibliographic record

VenueTechnology|Architecture + Design · 2025
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsEnvelope (radar)Building envelopeComputer sciencePhysicsTelecommunicationsMeteorology

Abstract

fetched live from OpenAlex

Legislation and standards governing the built environment are transforming in response to the climate crisis, imperatives for decarbonization, and concern for building occupants’ mental and physiological well-being. Stretch codes, the most rapidly evolving legislation adopted by states and municipalities, set higher and more comprehensive targets than base codes for energy, emissions, and resource usage. This review paper assembles an overview of current city, state, and provincial energy stretch codes in the US and Canada, specifically focusing on those that impact building envelope design. The review also investigates emerging embodied carbon regulations and voluntary occupant health standards and identifies potential conflicts across those and operational energy targets. The article argues for more verifiable and standardized data, multioptimization design tools, and research into low-carbon envelope materials.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.004
GPT teacher head0.192
Teacher spread0.189 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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