Exploring the Impact of WorkFace Planning on Labour Productivity Variance Mitigation on Industrial Construction Projects: A Mathematical Framework
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Bibliographic record
Abstract
WorkFace Planning is a construction planning and execution process developed by the Construction Owners Association of Alberta to enhance construction projects in terms of cost and productivity performance. To evaluate its effectiveness on labour productivity, a study is being conducted with a major Canadian industrial construction group that uses WorkFace Planning. In order to reliably establish a relationship between the planning process and improved project performance, a mathematical formulation is needed to capture the effects of WorkFace Planning on labour productivity. This paper presents a mathematical framework that quantifies the changes in both labour productivity and inproject costs that come from mitigation strategies developed through WorkFace Planning. The framework will be used in a research study that examines the proposed connection between WorkFace planning and improved project performance in depth.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it