Process evaluation of construction methods to quantify safety
Bibliographic record
Abstract
The use of off-site construction methods is increasing within the construction industry. While this method has been captured by a variety of terms, they all refer to the process of producing project components in a manufacturing-like facility off-site and transporting completed units to site to be assembled to achieve the desired end-product. To support the quantification of safety performance in off-site construction versus conventional on-site methods, the research has developed a generalized model for capturing and evaluating construction methods. The methodology was developed in partnership with local practitioners to define, assess and compare on-site and off-site construction practices with a safety lens, and the methodology is partially validated in collaboration with various project owners to assess case study projects that employed off-site construction into their processes. The evaluation methodology takes a construction product-focused approach with emphasis on defining a complete material supply chain and capturing the data needed to support quantifiable safety evaluations of the process. As such, the approach takes a unique approach to establish an evaluation methodology for future comparisons.
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How this classification was reachedexpand
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".