Innovative Process for the Development of New City of Calgary Road Construction Specifications - A Case Study
Bibliographic record
Abstract
In 2009 the City of Calgary commissioned EBA, A Tetra Tech Company (EBA) to undertake a comprehensive review of the City's standard specifications for road and other surface works construction. A process was developed that would incorporate input from a wide spectrum of stakeholders, and build consensus within the contracting and development industries as well as with City technical and administrative groups. As part of this effort, working groups were tasked with discussing and reporting back on three fundamental questions. What do we want the specifications to achieve? What level of responsibility (and risk) should be with the Contractor, Owner and Developer for quality? And, how do we balance initial cost with generational accountability? The outcomes served to provide the review team with five guiding principles for the ultimate delivery of enhanced specifications, including: improved clarity; state-of-the-industry material and construction quality standards; clearly defined roles and focusing the responsibility for quality on contractors and suppliers; delivering cost-effective and sustainable infrastructure, and; fair and equitable resolution process. This paper describes in detail the process and final outcomes of this innovative approach to specification development. It will also highlight some of the technical aspects that will provide the citizens of Calgary with sustainable, quality surface works construction for decades to come. For the covering abstract of this conference see ITRD record number 201211RT334E.
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 | 0.022 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".