Bibliographic record
Abstract
Kingston Ontario is a city on the north eastern shore of Lake Ontario at the south end of the 202km long Rideau Canal, the oldest continually operated canal system in North America and a UNESCO World Heritage Site. The Cataraqui river forms the lower portion of the canal and separates central Kingston from its eastern suburbs. The Third Crossing is a new 1.2km long multi-span two-lane highway bridge across the Cataraqui river, planned to increase east-west journey capacity and reduce congestion on existing routes and crossings. The project is intended to facilitate a significant increase in bike journeys, minimize maintenance liabilities and maximize service life. The project is believed to be the first bridge in North America to adopt an Integrated Project Delivery (IPD) model, involving an alliance of the city, design and construction partners. The city’s Preliminary Design was radically revised through the IPD process to bridge a significant affordability gap. Strict funding deadlines required the re-design to be completed within the short period allocated for validation of the original design. The IPD model allowed that undertaking to progress efficiently and keep the project on track in challenging circumstances. The revised design addresses complex environmental, stakeholder and heritage issues. A key requirement to acknowledge the World Heritage asset is addressed with a weathering steel arched bridge spanning 100m across the river’s boating channel to form a dynamic gateway to the canal.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.395 | 0.086 |
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".