<i>Revisiting Jacques Gréber’s</i> L’Architecture aux États-Unis: <i>From City Beautiful to Cité-Jardin</i>
Bibliographic record
Abstract
In 1920, Jacques Gréber published what was and still is the largest book on U.S. architecture and urban design ever issued in France. His dual agenda was to stress the impact of Beaux-Arts design methods (presenting his gardens and Philadelphia parkway as highlights of this trend), and to advocate the practical accomplishments of a pragmatic and affluent civilization. Showcasing an "edited" North American city, devoid of commercialism and filled with civic structures of great dignity and comfort, L’Architecture aux États-Unis looked back to ideals and accomplishments of the American Renaissance and ahead to the metropolitan culture of the 1920s. For the first time in France, ventures by U.S. architects in the field of civic art were acknowledged as major achievements. Gréber formulated ideas about modern North American civic centres, business districts, parks, and model suburbs that would affect his proposals for Ottawa and on his French career. His book triggered the evolution of French views of the U.S.-built environment toward greater interest and generally more positive views.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".