The Noble Bureaucrat: Louis I. Kahn's Central Space as art, authority and architectural experience
Bibliographic record
Abstract
The vast research on modern architectural masterpieces and Louis I. Kahn's work in particular reveals various ways in which architects often use large, central spaces as ordering elements. Conventional methods of research tend to take the meaning of a "central space" as self-evident. Though one cannot argue against the validity of these methods, many things remain hidden by assuming something as obvious. This paper is anattempt to reveal what is overlooked about the "central space" by following differentlines of questioning. It studies Kahn's Phillips Exeter Academy Library in light ofphilosophical theories by Hans-Georg Gadamer, Maurice Merleau-Ponty and HannahArendt. These theories help us study the building's central space by looking at it as awork of art, through an understanding of perception, and finally, under a lens ofhierarchical structures.Simultaneously, Kahn's own words and existing research on Kahn provide hintsthroughout the course of investigation. Apart from textual insight, digital images aregenerated by photography, drawing and 3D modeling. These images help strengthen and shape the argument. The end result is an effort to unravel what makes Kahn's library an architectural masterpiece in the first place.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.036 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".