Bibliographic record
Abstract
The Passenger Rail Planner's Guide for 2007 begins with an overview of the state of North America's rail passenger and rail transit systems. It notes that U.S. ridership statistics for light rail rose 5.4%, followed by 3.2% for commuter rail, and and 2.8% for heavy rail. The guide includes a chart identifying FY 2008 funding for new starts projects. Analyses are presented for Amtrak, including an essay titled Redefining Amtrak's role in the Northeast, and Via Rail in Canada. The guide then presents updates to systems in Boston, Connecticut, the New York Metropolitan Area, New Jersey, Philadelphia, Pittsburgh, the Baltimore-Washington Metropolitan Area, Raleigh, Charlotte, Atlanta, Tampa, Miami, Buffalo, Cleveland, Chicago, Minneapolis/St. Paul, St. Louis, Nashville, Memphis, Little Rock, New Orleans, Dallas-Fort Worth, Houston, Austin, Denver, Salt Lake City, Albuquerque, Phoenix, San Diego, Los Angeles, San Jose, San Francisco, Stockton, Sacramento, Portland, Seattle-Tacoma, Vancouver, B.C., Edmonton, Calgary, Toronto, Ottawa, and Montreal.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.354 | 0.258 |
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".