Map of the Month: West Coast Passenger Trains
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 Map of the Month provides a description of the state of short-haul passenger trains in California, Washington, and Oregon. In the early 1980s, very few operators ran such trains. Amtrak ran trains between Oakland and Bakersfield in California, between Portland and Seattle farther north, and a short commuter rail between San Jose and San Francisco. These were the only such lines. However, as the map displays, there are currently 338 weekday commuter and intercity trains up and down the West Coast from San Diego to Vancouver. Although 300 or so trains is only ten percent of the number of commuter trains in the north eastern region of the U.S., the article explains that this is still a victory for an area so dependent on automobile use. A difficulty presented is that most commuter rails in the West use rail owned by private businesses, whose market has also been increasing as of late, tying up the lines for their own use.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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