The Bay Adelaide Centre: Twenty-Five Years of Structural Innovation
Bibliographic record
Abstract
Conceptualized in the late 1980s, the Bay Adelaide Centre is located in downtown Toronto and will eventually be home to 3.2-million square feet of commercial office space in three towers, with heights of 51, 45, and 33 storeys. Arriving at this milestone required, the use of innovative structural materials—this development features the world’s first high-rise constructed using 485 MPa (70 ksi) steel, North America’s first high-rise designed using 450 MPa (65 ksi) steel, and Toronto’s first high-rise constructed using 85 MPa (12 ksi) concrete in the core; teamwork—as with any multi-phase development, a number of development, design and construction professionals have touched this project; and patience—the project has been in design and construction for more than 25 years. Breaking new ground in the world of structural design takes more than shovels and hard hats. From this presentation, attendees hoping to bring structural innovations to their projects will learn what questions structural engineers should ask material producers; what questions they will have to answer for the owner, fellow designers and the construction team; and what other tools they should equip themselves with in order to enter smoothly into new territory. They will also get an idea of the efficiency that high-strength structural materials can bring to projects of varying sizes, as well as an understanding of the add-on effects of these savings—from logistics and fabrication, to cost.
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 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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".