Bibliographic record
Abstract
With almost 100 million tons of cargo yearly, of which more than 80 millions pass through Québec ports, the St. Lawrence is an important artery of transport. The fluvial communications System, comprising gulf, estuary, river, and the Great Lakes, extends deep into the north American continent; Duluth, for example, is 2,200 miles from the sea. Although the Seaway has opened the Great Lakes to ocean-going ships, the general increase in tonnage and draught of these vessels has allowed Québec ports, located at the break point between maritimes and Great Lakes traffic, to maintain their privileged position. Nevertheless, transhipment cargoes here are not particularly impressive (about 30 million tons yearly, mainly cereals) if one considers the enormous industrial capacity of the basin; this is because the Great Lakes-St. Lawrence network is in many ways an autonomous unit, essentially continental, and supplied from the interior rather than from the exterior, as is the case of the Rhine basin, for example. In Québec, cargoes originating from « secondary » industries scattered along the river and its tributaries (for example, the Saguenay) are relatively unimportant in terms of tonnage ... only 22 million tons of cargo from these industrial zones pass through Québec ports. Only 3.9% 0 of the 6,539 factories located in cities touching on water, and only 13% of the total industrial payroll in these cities, are directly related to the St. Lawrence. This « underuse »of the river can be explained by Québec s industrial structure, geared to the production of consumer goods for local markets ; in contrast, Ontario has much heavy industry tied directly to the St. Lawrence network.
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 | 0.001 |
| 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 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".