Géographie historique des paysages patrimoniaux et touristiques de mémoire française. Étude comparative du Vieux-Québec et du Vieux Carré / French Heritage landscapes in North America: a comparative historical geography of two tourist attractions, the Vieux-Québec and the Vieux-Carré
Bibliographic record
Abstract
Parmi les grandes cités de la Nouvelle-France (1535-1763), deux villes connaissent de nos jours un engouement massif de la part des touristes, Québec et la Nouvelle-Orléans. Cet article rappelle le passé perdu de ces deux villes, ce temps de la fondation où ces lieux furent ceux de la diffusion de l'esprit français en Amérique du Nord. Il présente ensuite la genèse du tourisme dans cette partie du Nouveau Monde et souligne la réappropriation des lieux par la mémoire collective. Il met en évidence la transformation de ces centres anciens en espaces de désir et de consommation touristique du XIXe siècle à nos jours.
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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 | 0.003 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".