Underground replacement of a 100 year old tunnel using the sequential demolition method
Bibliographic record
Abstract
The Réseau Express Métropolitain (REM) by la Caisse de dépôt et placement du Québec (CDPQ) is a major transit project in Montréal, Canada. The automated LRT system will include 26 stations connected by 67 km of track. A section of the REM goes through the 5 km long existing Mount Royal Tunnel which was completed in 1917. The southernmost 540 m of the tunnel was constructed using a clever double arch consisting of plain concrete precast segments. A 92 m length of which was not in an acceptable condition after 100 years of deterioration and required replacement. This paper describes the implementation of an innovative sequential demolition and replacement method that was performed completely underground and coined “The Sequential Demolition Method”. The design was developed by Hatch with the Joint Venture CIMA + HATCH (CCH) retained by REM to oversee implementation by the NouvLR on a cost reimbursable approach.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".