Bibliographic record
Abstract
With the construction of a New City Hall, the core area of Guelph has undergone a significant transformation. An integral component of this was the reconstruction of Wyndham Street, from Wellington Street to Carden Avenue, which is the primary gateway to the City’s core area of institutional and commercial uses. The reconstruction included new underground services as well as streetscaping, widened sidewalks and bicycle lanes. In order to make this new connection functional, the CN Subway required replacement. The existing CN Subway on Wyndham Street dates back to the early 1900’s, and had reached the end of its service life. The bridge abutments were solid concrete, more than 1.0 m thick, with minimal reinforcing and the beam was steel, single span. It was deficient in terms of vertical clearance, had ongoing maintenance issues, and did not provide the horizontal clearance required for the proposed road cross-section. Given narrow right-of-way and the historic structures in the core area, i.e. an Armoury, VIA Station, Cenotaph and designated heritage buildings, setbacks were minimal and the work area was tightly controlled. The AMEC design team, in close consultation with the City, developed a phased construction approach which maintained rail traffic through the construction site.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".