Cours de la Seine de Paris à Rouen, cartes géoréférencées de Philippe Buache (18ème siècle)
Bibliographic record
Abstract
Cours de la Seine de Paris à Rouen. Ensemble de onze feuilles dessinées par Philippe Buache au 18ème siècle. Ces cartes sont difficilement géoréférençables en partie parce que la morphologie de la Seine a changé et en partie parce que les cartes sont inexactes. Feuille 1 de Paris à Neuilly : EAT_Seine_Paris_Neuilly_Buache_1766.tif Feuille 2 de Neuilly au Pecq : EAT_Seine_Neuilly_Pec_Buache_1766.tif Feuille 3 du Pecq à Poissy : EAT_Seine_Pecq_Poissy_1750.tif Feuille 5 de Rangiport à Flicourt : EAT_Seine_Rangiport_Flicourt_1750.tif Feuille 7 de Vernon à Falaise : EAT_Seine_Vernon_Falaise_1750.tif Feuille 8 de Falaise à Herqueville : EAT_Seine_Falaise_Herqueville_1750.tif Feuille 10 du Manoir au Port Saint-Ouen : EAT_Seine_Manoir_Port_Saint_Ouen_1750.tif Feuille 11 du Port Saint-Ouen à Rouen : EAT_Seine_Port_Saint_Ouen_Rouen_1750.tif Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Mise en ligne en avril 2015. Métadonnées par Julie DAVODET et Juliette AUDET dans le cadre du projet Archiseine (PIREN-Seine - Archives Nationales).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.060 | 0.010 |
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".