Interview pour l'exposition Histoires croisées: Gae Aulenti, Ada Louise Huxtable, Phyllis Lambert, sur l’architecture et la ville (Archizoom, EPFL)
Bibliographic record
Abstract
Nées dans les années 1920, les architectes Gae Aulenti et Phyllis Lambert et la critique Ada Louise Huxtable comptent parmi les figures les plus influentes de l’architecture et du design dans l’effervescence de l’après-guerre. Pionnières d’un milieu à l’époque largement dominé par les hommes, actrices majeures de la transition entre le modernisme et le postmodernisme, elles partent à la conquête d’un espace public qu’elles vont modeler et construire. À partir d’images d’archive, de dessins et de photographies, cette exposition documentaire met en lumière certaines de leurs réalisations emblématiques et entrecroise leurs trajectoires biographiques exceptionnelles pour repenser le rôle crucial des femmes dans l’histoire de l’architecture du XXe siècle.Cette exposition a été produite par le Centre Culturel Canadien à Paris avec Léa-Catherine Szacka, commissaire et Catherine Bédard, commissaire associée.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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; both teacher heads agree on what is shown here.
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".