First ISIS Canada pedestrian bridge: student design perspective
Bibliographic record
Abstract
In January 2002, the Intelligent Sensing for Innovative Structures (ISIS) Canada Networks of Centres of Excellence announced its first pedestrian bridge design competition for ISIS students. The bridge is located on the campus of the Université de Sherbrooke to provide a new access to the new east entrance of the Faculty of Engineering Building. The proposed design was required to convey the innovation and ingenuity of the ISIS Canada Research Network through the use of fibre-reinforced-polymer (FRP) materials. Based on these requirements, five graduate students from the Department of Civil Engineering at Queen's University joined forces to produce the winning conceptual design, demonstrating cost-effectiveness, visual stimulation, and innovation. This application paper presents details of the competition and the winning design for the pedestrian bridge as told by the winning design team. The bridge was built during the summer of 2002 at the Université de Sherbrooke. The objective of the paper is to present the student experience from this highly successful competition, and thus to promote similar design competitions for engineering students.Key words: short span, pedestrian bridge, fibre-reinforced polymers, reinforced concrete, conceptual design, innovation, ingenuity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 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".