CITY OF EDMONTON'S NEWEST EXTENSION: SEEING THE LIGHT AT THE END OF THE TUNNEL
Bibliographic record
Abstract
In 1978, Edmonton was the first city in North America with a population under one million to build a modern light rail transit (LRT) system. last expansion in 1992 brought the LRT south, across the North Saskatchewan River and into an underground station in the heart of the City's university campus. In June of 1999, the Owner, together with Stantec (their Managing Consultant), prepared a scoping document outlining the planning objectives and project delivery for an 8.2 km extension of the existing system to facilitate LRT service to the City's south side. In December of 1999, Edmonton's City Council accepted the scoping document for information and voted to proceed with the planning of the $600 million (CAN) South LRT Extension Project. On November 21, 2001, Council approved the engineering and construction of the first phase. current line has an end of the line station located 26 m below grade. This phase of the extension involved bringing the LRT system to grade as quickly as possible. short extension will terminate at a new at-grade station, which will serve the University Hospital, a Performing Arts Center, the southern end of the University campus, and a future medical research facility. total extension of 650 m will cost approximately $100 million (CAN). major construction element is twin, 6 m diameter tunnels. Each tunnel is about 300 m in length. Through planning, engineering, and construction, the City and Managing Consultant developed and implemented a number of project management tools and documents. During the planning process, stakeholder involvement was paramount. City of Edmonton places such a high importance on this process, that The Principles of LRT and Busway Planning and Development are incorporated into the Transportation Systems Bylaw. As the project transitioned into engineering, clear project delivery strategies were implemented. These included the development of a project control manual, continued public consultation, and a risk assessment workshop. These procedures and documents continue to be an invaluable tool as the project moves into construction. With the recent completion of the two tunnels and portal, the project is half complete. At this stage of the project, a mid-term report card was completed to objectively examine the processes and documentation set forth at the beginning of the project. In comparing the original goals with those actually attained, the project team identified what worked and what needs to be enhanced. At this stage of the project, the management team can easily implement the lessons learned by understanding the Why? behind the effectiveness of the various strategies.
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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 | 0.001 |
| 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".