MEASURING STICK : CLASS 1S AIM HIGHER ON CONSISTENCY, DEPENDABILITY CURVES
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
Seeking to decrease the variability of shipping times, Class I railroad operating executives are trying to establish a customer focused service paradigm. The Canadian National Railway is using a schedule approach which sets a goal for each rail car and measures performance against goals. The Burlington Northern Santa Fe develops a trip plan for each carload called a Transportation Service Plan (TSP). Norfolk Southern Railway is implementing the Thoroughbred Operating Plan (TOP) to improve transit times through redesigning the operating plan and route traffic in blocks. CSX Transportation is trying to improve consistency through Industrial Switching Excellence (ISE), getting customers involved in car moving decisions. Union Pacific is seeking service reliability improvements by continuing their Network Design Integration (NDI). Kansas City Southern Railway is developing the Management Control System (MCS), a computerized operating platform enabling the railroad to knit together shipment schedules using customer matching data.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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