Utilization of Value and Risk Assessments in Transportation Procurement: A Case Study of a New Highway Corridor
Bibliographic record
Abstract
The Queen Elizabeth II Highway provides the sole transportation link between the city of Edmonton and the city of Leduc. Over 35,000 vehicles commute between these areas on a daily basis, while the Edmonton International Airport is strategically positioned between them. The Canadian government has recognized the need for an alternative transportation corridor in this area. The necessary funding for Phase 1A of the 14.4 mi of new road construction was provided under the Building Canada Fund. The proposed Nisku Spine Road will be completed in four separate phases. The objective of this study was to draw analysis from a government’s implementation of a value-based procurement model and risk management approach to minimize project cost. Under this procurement model, the overall project costs were reduced through past contractor experience, risk assessment plans, and value added options. The selected firm’s proposal was 30% below the original anticipated cost of $21.8 million dollars. Furthermore, the contractor was able to offer a value added option that resulted in additional savings of approximately $1 million dollars. In all, a total savings of $7.5 million dollars was realized by the utilization of the value-based procurement method for this publicly funded heavy/civil construction project.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".