Bibliographic record
Abstract
The British architect James Frazer Stirling (1924-1992) stimulated impassioned responses among both supporters and detractors, and he continues to be the subject of fierce debate. He earned international renown through such innovative-and frequently controversial-projects as the Leicester University Engineering Building (1959-63); the History Faculty building at Cambridge University (1964-67); the Neue Staatsgalerie, Stuttgart (1977-84); the Clore Gallery at Tate Britain (1984); and the Arthur M. Sackler Museum at Harvard University (1979-84). Stirling was also a visiting professor at the Yale School of Architecture, where he trained and influenced many of the current leaders in the field. Fully illustrated with previously unpublished documents and new photography from the James Stirling/Michael Wilford Archive at the Canadian Centre for Architecture, Montreal, this book allows for a close examination of design drawings, photographs, and models spanning Stirling's entire career. These materials deepen our understanding of the influences, early formation, approach, and process of an architect whose work resists labeling. Filled with in-depth analytical and critical presentations of exemplary projects and their reception, the volume reveals Stirling to be a remarkably informed and consistent thinker and writer on architecture.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.012 |
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".