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 article, third in a series on Ed Burkhardt’s rail world, this article focuses on the Montreal, Maine & Atlantic (MM&A) railroad. Prior to Burkhardt’s involvement, the railroad was run as the Bangor & Aroostook, with its origins dating back to 1891. Financial struggles resulted in its bankruptcy in 2002, and in early 2003, the railroad was acquired by Burkhardt’s Rail World and renamed the MMA. The article describes the struggles that the MM&A has faced in the four years since Burkhardt’s purchase. Key to MM&A’s livelihood was the Great Northern paper mill, which provided 25 percent of the railroad’s revenue. However, financial problems forced the mill’s shutdown, which then threw MM&A into salary reductions and layoffs. While new ownership has helped turn the tide for the mill, it is still not smooth sailing for the MM&A. The article describes how the railroad has purchased new maintenance of way equipment, upgraded track, and is prepared for adversity if necessary.
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) | 0.001 | 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