Prompt Payment Movement Sweeps Across Canada: Is the Energy Industry Ready to Comply?
Bibliographic record
Abstract
Jurisdictions throughout Canada are debating, drafting, and enacting legislation for prompt payment and mandatory adjudication in the construction industry. The purpose of such legislation is to avoid the pitfalls of delayed payments and improve the dispute settlement system. Although this legislative push is inspired by reforms undertaken in the UK decades ago, Canadian jurisdictions are now following Ontario’s lead in legislating swift payment deadlines and adjudication requirements. This article surveys these legislative changes as they first occurred in the UK context and as they are now occurring throughout Canada. Special attention is given to implications for the Canadian energy sector. The article concludes by offering some risk allocation strategies for drafting contracts under the new statutory requirements.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".