From rivers to canals, an environmental geohistory of the construction water territories : the Upper Scheldt valley (12th-20st centuries) and the island of Montreal -St Pierre River/Lachnie canal (17th-20st centuries) : Comparative perspectives France
Bibliographic record
Abstract
La présente thèse, initialement réalisée dans le cadre d'une cotutelle internationale France-Québec entre l'Université polytechnique Hauts-de-France et l'Université de Montréal, propose une géohistoire environnementale comparée des espaces fluviaux en France et au Canada, à partir de l'étude de la vallée du Haut-Escaut et de l'île de Montréal dans la vallée laurentienne. En croisant les méthodes de l'histoire environnementale, de l'archéologie fluviale et de la géohistoire des paysages, associées à une démarche comparatiste, l'objectif de confronter les trajectoires d'aménagement de ces deux territoires de l'eau, à parti d'usages et d'objets techniques communs issus de transferts et d'adaptations locales : moulins, réseaux hydrauliques urbains et ruraux, canaux de navigation. Ces aménagements ont ensemble contribué à créer de nouveaux territoires de l'eau et à transformer durablement les paysages, avec une transition des anciens cours d'eau aux canaux industriels, selon des temporalités et spatialités spécifiques à chaque territoire.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".