Innovative CLT Gravity and Lateral Systems for Vancouver School Projects
Bibliographic record
Abstract
This paper presents innovative uses of cross-laminated timber (CLT) as part of the gravity and lateral force resisting systems for two school projects in Vancouver, the Sir Matthew Begbie and Bayview Elementary Schools. Natural Resources Canada Green Construction through Wood (GCWood) program supported the project construction and coordination costs associated with innovative mass timber construction. The two-storey school buildings will provide classrooms, teaching areas, gymnasium, as well as a learning center with exposed CLT walls, floors, and roof throughout; CLT walls are used for both gravity and lateral resistance in the building. At the upper storeys, hybrid steel-CLT storey-depth beams avoid intrusive drop beams below the floor. Long windows are framed with CLT panels acting as lintels. Both projects include long-span floor systems for which both deflection and vibration requirements fell outside the feasible range for CLT panels commercially available in North America; therefore, a ribbed CLT-glulam composite floor is utilized. In this paper, the innovative use of CLT includes long span composite CLT-glulam floor and roof systems, balloon-framed shear walls, and the use of concentrically and eccentrically loaded CLT lintels are discussed, focusing on the Sir Matthew Begbie Elementary School.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".