PROCEEDINGS ON THE THIRD WORKSHOP ON HIGHWAY-RAILWAY GRADE CROSSING RESEARCH (CD-ROM)
Bibliographic record
Abstract
These proceedings contain the presentations given at the Third Workshop on Highway-Railway Grade Crossing Research held in Montreal, Quebec, November 26, 2001. The workshop was organized by members of the Direction 2006 Research Committee. The presentations focus on research and development designed to improve highway-railway grade crossing safety. The presentations included: Direction 2006 Executive Committee Report; Canadian Cooperative Grade Crossing Research Program; Federal Railroad Administration Research Priorities and Issues; Grade Crossing Initiatives and Issues; Evolution of U.S. Technology Research and Impacts on Driver Behavior; Association of American Railroads Research in Support of Grade Crossing Warning System Technologies; Transport Canada Occurrence Database Development and Demonstration; A Human Factors Analysis of Highway-Railroad Grade Crossing Incidents in Canada; LED Technology for Improved Conspicuity of Signal Lights at Road-Railway Crossings; Locomotive Horn Study; Second Train Warning at Grade Crossings; Grade Crossing Contraventions and Motor Carrier Safety Assessment; North American Grade Crossing Safety Improvement: Vision for the Future; Eyetracking Technology: Applications in Transportation Safety Research; and Enhancing Safety at Highway-Railway Grade Crossings through Intelligent Transportation Systems Partnerships. Abstracts are provided in both official languages.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.362 | 0.183 |
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".