ASSESSING THE ADOPTION OF CROSS LAMINATED TIMBER BY ARCHITECTS AND STRUCTURAL ENGINEERS WITHIN THE UNITED STATES
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.
Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it