Bibliographic record
Abstract
After decades of relative inactivity, interest in commuter rail electrification is growing. Long limited to already electrified systems in New York City; Philadelphia, Pennsylvania; Chicago, Illinois; and Montreal, Quebec, Canada, commuter rail electrification is increasingly being recognized as a way to increase speed and train throughput on busier properties. Several commuter railroads are planning or implementing new electrification, which presents challenges as well as opportunities. Installing overhead wires and support structures will make track alignments essentially final for the foreseeable future. Therefore, railroads should make any proposed changes to track layout and elevation before electrification. Other right-of-way considerations are also noted. As interest in commuter rail electrification grows, best practices from early 20th-century projects will be relevant for future installations. Between the 1900s and the 1930s, railroads electrifying their suburban and intercity passenger operations found ways to accommodate different types of trains, meet the needs of peak-period service, and keep different types of trains out of each other’s way, to the maximum extent possible. Alternatives for track arrangements are examined in the context of operating and right-of-way needs of the railroads implementing each configuration.
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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".