Seine: Petit bras de la Seine à Paris de Notre-Dame au pont Saint- Michel, carte de Duchanoy (1812)
Bibliographic record
Abstract
Plan coté effectué par L. Duchanoy et destiné à être joint aux rapports des Ingénieurs ordinaires des Ponts et Chaussées supervisés par Becquey de Beaupré. Comme semble le montrer le géoréférencement, le projet ne semble pas avoir été réalisé, ou a été modifié par la suite. Les couleurs rouges et bleues ne sont pas légendées. Tous les projets indiqués dans la légende ne sont pas figurés sur le plan, par exemple l'agrandissement du Parvis de Notre-Dame. Raster GeoTIFF : EAT_Seine_Pont_Saint_Michel_Duchanoy_1812.tiff Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10078/1/52. Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Métadonnées par Julie DAVODET et Juliette AUDET. Mise en ligne en avril 2015.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 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) | 0.040 | 0.037 |
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".