Bibliographic record
Abstract
So common is the expression ‘art and architecture’ in discourse about the arts that its implications tend to slip by unnoticed. However, on our reading, ‘art and architecture’ tends to underline the externality, if not the exile, of architecture with respect to other art forms, indicating, perhaps, in its conjunction, a different kind of status from them. Certainly, within the arts, architecture is among those most connected with institutions and actions having little to do with the creative process. Like film, for example, it requires a large diversity of skills and abilities that must be carefully managed, and it sometimes involves dealings so complex—and at times so costly—that one can only marvel that some projects are completed at all. Architecture, for all its sometimes majesty, is a paradigm of a negotiated art, one that often involves significant compromise of artistic ideals. This complexity in the process of production and construction parallels the complex manner in which architecture is received. Unlike film, painting, or music, architecture is not—and should not be—experienced from a single static position. Moreover, unlike the other arts, it is best to experience architecture through a number of sense modalities simultaneously as one moves within and around its instances.
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 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.531 | 0.346 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".