Value Engineering Applications in Transportation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This synthesis summarizes the current value engineering (VE) practices of highway transportation agencies in the United States and Canada. The synthesis identifies the reported best practices, key strengths, and challenges of current VE study processes and agency programs. The report is intended to serve as a guide to those agencies interested in applying VE and/or improving the effectiveness of VE in their projects and programs. Key topics discussed include policies, guidelines, and selection; education and awareness; applications; implementation; monitoring; and future needs. A brief history is provided that traces the development of VE applications in transportation projects from the 1960s to the present. This synthesis is based on information collected during a detailed literature search and from documents made available by selected transportation agencies and municipalities in North America. In addition, a survey was distributed to 53 transportation agencies in the United States and 13 transportation agencies in Canada (province and territories) and major municipalities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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