Bibliographic record
Abstract
PROSPECT For more than a quarter century, artist Thomas Schiff has used a panoramic camera to explore the hard edged and technologically refined man-made landscape worldwide. Schiff recasts the built environment, reorders its purist forms into atmospheric com-positions befitting the illusionism of Piranesi. From the vernacular movie theatres of the 19305 to libraries, private residences, universities, and performance halls, PROSPECT features Schiff's quintessentially American work--kaleidoscopic and vibrantly colored large format prints that offer up a new way of seeing and interpreting the architectural landscape. Counted among the more than 200 photographs in PROSPECT are buildings by the titans of architecture: Nor-man Foster, Frank Lloyd Wright, Louis Kahn, Zaha Hadid and Renzo Piano. From visionary works by Thomas Jefferson to spectacular hotel resort developments, museums and the public spaces that define the fantasy skyline of Las Vegas, Schiff has logged hundreds of thousands of miles across the United States in rediscovering this rich repository of buildings. In PROSPECT, Schiff's steady and unrestrained visual language forcefully combines in a remarkable corpus that will broadly appeal to architects, designers, photographers, filmmakers and those interested in the visual arts. De-signed by Los Angeles-based Waxel, the book also features a compel-ling new essay by noted writer, Michael Speaks.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".