Management of the Great Lakes-St. Lawrence Maritime Transportation System
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
The Great Lakes-St. Lawrence Maritime Transportation System ("MTS") bears critical importance to the economic competitiveness of Canada and the United States ("US"). Maritime transportation comprises both a major economic driver and job creator for both countries. As a cost-effective and highly efficient means of transporting raw materials and finished products to market, the MTS is essential to agricultural, mining, and manufacturing supply chains that frequently stretch across the US-Canada border and beyond. Yet management of the MTS is fragmented, with responsibility for various system components scattered across numerous federal agencies in both the US and Canada. This fragmentation results in a dearth of transparency, confusing and disjointed governmental authority, higher user costs, barriers to establishing new markets, and overall reduced system competitiveness. The development of a treaty that commits both nations to integrate system management, harmonize regulations, and promote more effective coordination will bring clarity regarding authority over key system aspects, increase accountability, and improve performance.
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 | 0.001 |
| Science and technology studies | 0.001 | 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