Achieving Public Policy Objectives Through Collective Agreements: The Project Agreement Model for Public Construction in British Columbia’s Transportation Sector
Bibliographic record
Abstract
The Construction of the $1.2 billion Vancouver Island Highway Project provided an opportunity for the building trades unions and the Government of BC to negotiate an innovative collective agreement that included union membership, training for local residents and members of equity groups, new employment opportunities for members of designated equity groups and a comprehensive health and safety program.The Project implemented the most comprehensive system of tracking progress in employment equity in BC’s history. By its completion, women, First Nations, persons with disabilities and visible minorities accounted for just under 20% of total hours worked in an industry where 2% representation is the norm. Over 94% of payroll went to local residents, ensuring their communities the benefits of this major capital project. Finally, the health and safety record was significantly better than on any comparable construction project. Far from being an impediment to the efficient and timely completion of this major construction project, the collective agreement made it possible to deliver training, employment opportunities and regional development
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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 | 0.032 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.028 | 0.026 |
| Scholarly communication | 0.027 | 0.009 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 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".