International Guide To Highway Transportation Information
Bibliographic record
Abstract
This final report is a compilation of a multi-volume set of Guides that provides highway transportation information resources for domestic and international professionals. The Guides are useful for the traffic engineer, transportation planner, and intelligent transportation systems specialist, as well as academics, applied researchers, administrative officials, and highway transportation information and library professionals. The Guides are also useful for civil engineers or other professionals in highway construction, operations, and materials; as well as highway safety and human factors engineers; psychologists; and social scientists. Information sources for member countries of the Organization for Economic Cooperation and Development (OECD) and other selected countries are included in the Guides. The list of countries includes: Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Luxemburg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. This document is organized by chapters that correspond to each of the volumes in the set; each volume is available as a stand-alone document that is available on FHWA's website (www.international.fhwa.dot.gov). The volumes incorporated into this document are as follows: Volume I - Highway Transportation Libraries and Information Centers; Volume 2 - Websites; Volume 3 - Document Delivery Suppliers; Volume 4 - Bibliographic and Non-Bibliographic Database Producers; and Volume 5 - Highway Transportation Associations, Organizations, and Other Professional Societies.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.266 | 0.269 |
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".