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 focuses on the changes that occurred between 1994 and 2004 to practices and strategies being used to control the impacts of winter weather on the safe and efficient movement of traffic. Winter highway operations integrates snow and ice control strategies and activities, traveler information, traffic operations, weather effects, environmental impacts, incident management, and customer information. Winter weather is experienced as snow and ice accumulation on pavement, fog and reduced visibility, rockslides, and high winds throughout North America. This synthesis reports that experienced and well-trained highway maintenance personnel are the most valuable resource in transportation agencies' winter programs and targets as the intended audience frontline and mid-level supervisory winter maintenance decision makers and planners in the United States. Survey responses were received from 13 state departments of transportation, 6 Canadian provinces, and 3 Canadian municipalities. The state of the practice was developed based on these responses, capturing changes that have occurred at the planning, managing, and operations levels of winter highway operations.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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