Bibliographic record
Abstract
This paper examines the critical issue in North American freight transportation of increasing congestion at key hubs. It offers a suggestion for alleviating some congestion arising from inter-and intra-modal transfers of containers. This is particularly important for transportation hubs such as Chicago where dramatic increases of goods movement are projected (for example, from Prince Rupert Port and Halifax). Professor Rodrigue's Working Paper is adapted from a much longer article that will appear in the Journal of Transport Geography. It raises important and controversial issues about enhancing levels of efficiency in moving increasing numbers of containers over longer distances in the North American system. There is general agreement that we must focus more attention on improving the efficiency of intermodal transfers. And there is agreement as well that transfers within the same mode (what railroads call "interlining") often take place at less than optimal efficiency levels. Rodrigue argues that because of market fragmentation, new gateways (Canada and Mexico), growth in containerized volume, long distance shipments as well as time reliability issues, it is likely that "transmodal " transfers (transfers within the same mode that require intermodal
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 | 0.000 | 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) | 0.002 | 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".