L’architecture comme expérience totale : autour d’une restitution informatique de la salle de lecture de la bibliothèque Sainte-Geneviève d’Henri Labrouste
Bibliographic record
Abstract
Henri Labrouste’s Bibliothèque Sainte-Geneviève (1851) is recognized as one of the major monuments of nineteenth-century Paris. Its magnificent reading room, generally well preserved, has been subjected to a number of transformations over the years. Though its initial form is known from old photographs showing the interior space during daytime, the authors of this article have sought to reconstruct the original reading room in a 3D digital model that would render the atmosphere at different hours. The article first explains how the 3D model was developed, using old photographs, drawings, archives, and the very detailed construction journal kept by the architect. It emphasizes how the night view was produced, with its original system of gas lighting, focusing the light on the working tables, the bookshelves, and the circulation space. The authors then develop the argument that the alternation between natural light and artificial light strongly contributes to the Romantic interpretation of knowledge represented in the library. Situating the Bibliothèque Sainte-Geneviève in relation to other projects in which the alternation of natural and artificial light plays an important symbolic role, such as Boullée’s cenotaph to Newton, they argue that Labrouste’s modernism is not only found in his use of an iron structure in the reading room, but also in his creation of a total architectural experience.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".