Architec(x)tures, introduction & préface du dossier « Transferts et confrontations transatlantiques » sous forme de rapport de conférence
Bibliographic record
Abstract
Concernant l’architecture projetée par la fiction textuelle, Béatrice Didier a inauguré l’étude architecturale des textes. Ce numéro complète celui de L’espace public de la sphère domestique, avec l’introduction de Thierry Belleguic, «Planning for Privacy» de Reed Benhamou, «Une chambre a soi» par Marie Laure Girou Swiderski, «Jean-Philippe Rameau» par Lane HelIer, «Chardin's Domestic Rhetoric and the Poetics of the Private and Public Sphere» d’Heather McPherson, «Violence and Persecution in the Drawing-Room», d’Antoinette Sol, «Woman, Æsthetics and Natural History » d’Anne-Marie Link, dont les articles peuvent être consultés à https://ir.lib.uwo.ca/frenchebooks/2/ Concernant les articles du dossier « Transferts et confrontations transatlantiques », il s’agit d’articles sélectionnés par rapport à la conférence de Toulon sur ce thème, et qui a eu lieu dans les locaux de cette université les 28-29 mars, 2019, sous l’égide de l’UFR Lettres, Langues et Sciences Humaines de Toulon, avec le concours du laboratoire Babel (EA26491) et en collaboration avec LERMA (EA853, Aix-Marseille Université), le GRIC (EA4314), Université Le Havre-Normandie, l’Université de Western Ontario, et ouvert par Xavier Leroux, directeur de l’UFR Lettres, Langues et Sciences Humaines, de l’Université de Toulon ; le numéro suivant aura une suite de ce dossier pour les articles en anglais.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.144 | 0.056 |
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".