Autopia as new perceptual regime: mobilized gaze and architectural design
Bibliographic record
Abstract
Abstract The automobile has reshaped our conceptions of space and our modes of accessing and penetrating the urban and non-urban territory in multiple ways, revolutionizing how architects perceive the city and contributing significantly to the transformation of the relationship between architecture and the city. Despite the fact that many architects and architectural critics and theorists have been attracted to automobile vision, in the field of history and theory of architecture and urban design, many questions concerning the impact of the automobile on our perception of the city and its territory have not yet been explored in depth. This is surprising when one considers that no other single factor changed the city so drastically during the twentieth century as the pervasive presence of the automobile. The article examines three different cases of architects—John Lautner, Alison and Peter Smithson, and Aldo Rossi—who tried to construct new visual regimes in photography from the car. The main objective is to present how new visual regimes in photography from the car informed in various ways the visual attitudes in their designs of buildings. The interexchange between the ways of capturing the views from the car and the formation of new design methods can explain the necessity to establish a new theoretical framework offering the possibility to historians of architecture and urban design to address in a sharp and concrete way the reciprocal relation between automobile vision and design approaches.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".