A simulation-based framework for quantifying the cold regions weather impacts on construction schedules
Why this work is in the frame
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Bibliographic record
Abstract
In cold regions, weather severity has a major impact on construction activities carried out in the open, leading to significant deviations from baseline schedules. Faced with weather uncertainty, setting up the project baseline schedule, against which performance will be measured, can be challenging. Construction planners often depend on their personal judgment and experience to account for the scheduling impact of cold weather. Due to variation in planners' experiences, the regions where their experience was acquired, and the time of year when the planned project is to be executed, the result can be widely differing plans between planners. This paper presents a structured simulation-based approach that attempts to account for the cold weather impacts on project schedule. This approach relies on generating weather sequences similar to the existing historical weather data for the project's geographical region. The impact on productivity and project schedule can then be modeled, leading to consistent schedules.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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