A Pilot Study of Identifying Execution Plan Differences for Accelerated Bridge Construction
Bibliographic record
Abstract
Accelerated bridge construction (ABC) is an innovative construction technique used to accelerate the construction of new bridges, as well as the renovation/replacement of existing bridges. Due to the benefits offered by ABC, transportation authorities have a higher preference in executing an accelerated approach over conventional bridge construction. The execution of an accelerated approach has differences when compared to the conventional approach, and it is important to identify such differences for the successful implementation of ABC projects. However, there have been no studies to identify such execution differences. Therefore, this study was conducted to identify execution plan differences relevant to ABC. For this purpose, an extensive literature review was conducted to prepare a preliminary list of execution plan differences. Then, a questionnaire survey was administered with the industry experts, who were previously involved in the execution of ABC projects, to validate the preliminary list. Based on the literature review and the responses from questionnaire survey, this study identified 61 execution plan differences relevant to ABC in different phases of execution. This study is expected to benefit owners, contractors, and road/bridge users for successful execution of ABC projects.
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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 | 0.015 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".