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Record W4221070652 · doi:10.3992/1943-4618.17.1.127

ASSESSING THE ADOPTION OF CROSS LAMINATED TIMBER BY ARCHITECTS AND STRUCTURAL ENGINEERS WITHIN THE UNITED STATES

2022· article· en· W4221070652 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Green Building · 2022
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCross laminated timberEngineeringArchitectural engineeringRoofProduct (mathematics)BusinessCivil engineeringMarketing

Abstract

fetched live from OpenAlex

ABSTRACT Cross Laminated Timber (CLT) is an engineered wood product for the construction industry offering multiple structural, environmental and supply chain benefits. CLT can be used for an entire building, as both the lateral and vertical load resisting system, or for select elements such as the roof, floors or walls. CLT products were developed in the early 1990’s and have been widely adopted throughout Europe, and more recently, in Canada. However, use of CLT products is still relatively rare in the US. We present the results of a nationwide phone survey in the US conducted with architects and structural engineers to gauge their awareness, rate of adoption and assimilation of CLT products. Although adoption of CLT amongst architects and structural engineers is still at a nascent level within the construction sector, awareness is high, with 100% of our sample respondents cognizant of CLT. Architects and structural engineers perceive relative advantages of using CLT as well as compatibility with traditional construction. However, the adoption process is impeded by issues associated with complexity, trialability and observability. Key barriers to adoption of CLT as perceived by these two stakeholders are lack of experience from construction stakeholders, lack of training and tools for construction management stakeholders, lack of client requests and CLT inventory.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.269
Teacher spread0.257 · 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