Les lacs fluviaux du Saint-Laurent : Hydrologie et modifications humaines
Bibliographic record
Abstract
Le bassin Grands Lacs – Saint-Laurent couvre une superficie approximative de 720 000 km2. Les Grands Lacs, avec 250 000 km2, en occupent environ le tiers et le fleuve Saint-Laurent, avec 470 000 km2, pres des deux tiers (Frenette et al., 1989). Dans sa partie quebecoise, entre Cornwall (Ontario) et Quebec (Ile d’Orleans), le fleuve coule sur 424 km. Des caracteristiques hydrologiques et morphometriques distinctes permettent de le diviser en deux sections : le « troncon fluvial » et l’ «estuaire fluvial ». Le troncon fluvial s’etend sur 243 km, de Cornwall jusqu’a l’exutoire du lac Saint-Pierre, et est caracterise par l’absence de marees de meme que par la presence de rapides, d’iles et d’Ilots (CSL, 1996). C’est toutefois la presence de trois elargissements d’envergure, soit les lacs Saint-Francois, Saint-Louis et Saint-Pierre, qui represente l’un des caracteres distinctifs de ce troncon. On les qualifie de « lacs fluviaux », car leur superficie est caracteristique d’un lac, mais leur dynamisme d’ecoulement est typique d’un fleuve. Ces lacs constituent d’importants habitats pour la flore et la faune du Saint-Laurent. Le present article decrit les principales caracteristiques de chaque lac et enumere les modifications physiques de l’habitat et les sources de pollution les plus importantes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".