Le rôle et la fonction des ports de petite et moyenne taille dans le système Saint-Laurent
Bibliographic record
Abstract
Les études des grands ports dominent la recherche sur le transport maritime. Les ports de petite et moyenne taille sont généralement ignorés ou analysés de façon marginale. Cet article tente de corriger cette lacune. Les pages qui suivent reposent sur une recherche entreprise sur les ports du Québec. Nous analysons la contribution de 28 ports de petite et moyenne taille au commerce maritime du Québec. Nous explorons ensuite les diverses contributions qu'ils offrent à cette activité en identifiant nombre d'importantes fonctions qu'ils occupent. L'article discute enfin certaines des implications liées aux rôles que jouent ces ports sur le plan de leurs contributions aux économies locales et régionales, de leurs besoins en équipements et de leur juridiction administrative.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".