Southeast Collector Project – Procurement of TBMs by the client / Southeast Collector Project – Beistellung der TBMs durch den Bauherrn
Bibliographic record
Abstract
Abstract The “Southeast Collector” project, a 15 km long sewer tunnel in the York Region east of Toronto, Canada, has a special feature in that the four TBMs for boring the tunnel are being provided by the client. This holds many unusual situations and challenges concerning on the one hand the risk distribution and on the other hand the construction dynamics. The article intends to discuss the motivations as well as the advantages and disadvantages of this concept through the example of this project, diverse research and available references. It finally attempts to find answers to the questions where and when the procurement of tunnel boring machines by the client may be appropriate. Das Projekt “Southeast Collector”, ein 15 km langer Abwasserstollen in der York Region östlich von Toronto, Kanada, zeichnet sich durch eine Besonderheit aus, nämlich, dass die vier TBMs für den Vortrieb durch den Bauherrn bereitgestellt werden. Diese Situation birgt viele Ungewöhnlichkeiten und Herausforderungen in sich, was sich einerseits in der Risikoverteilung, aber andererseits in der Ausführungsdynamik widerspiegelt. Es wird versucht anhand dieses Projekts, diverser Nachforschungen und bestehender Literatur die Motivation, die Vor‐ und Nachteile und Herausforderungen dieses Konzepts zu erarbeiten, um schlussendlich Antworten zu finden, wo und wann die Beistellung von Vortriebsmaschinen durch den Bauherrn sinnvoll erscheinen mag.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".