Bibliographic record
Abstract
For over twenty years, the Chora series has received international acclaim for its excellence in interdisciplinary research on architecture. The seven volumes of Chora have challenged readers to consider alternatives to conventional aesthetic and technological concepts. The seventy-eight authors and eighty-seven scholarly essays in the series have investigated profound cultural roots of architecture and revealed rich possibilities for architecture and its related disciplines. Chora 7, the final volume in the series, includes fifteen essays on architectural topics from around the world (France, Greece, Iran, Italy, Korea, and the United States) and from diverse cultures (antiquity, Renaissance Italy, early modern France, and the past hundred years). Thematically, they bring original approaches to human experience, theatre, architectural creation, and historical origins. Readers will also gain insights into theoretical and practical work by architects and artists such as Leon Battista Alberti, Peter Brook, Douglas Darden, Filarete, Andy Goldsworthy, Anselm Kiefer, Frederick Kiesler, Claude-Nicolas Ledoux, and Peter Zumthor. Contributors to Chora 7 include Anne Bordeleau (University of Waterloo), Diana Cheng (Montreal), Negin Djavaherian (Montreal), Paul Emmons (Washington-Alexandria Architecture Center of Virginia Tech), Paul Holmquist (McGill University), Ron Jelaco (McGill University), Yoonchun Jung (Kyoto University), Christos Kakalis (Edinburgh School of Architecture and Landscape Architecture), Lisa Landrum (University of Manitoba), Robert Nelson (Monash University), Marc J Neveu (Woodbury University), Alberto Pérez-Gómez (McGill University), Angeliki Sioli (Monterrey Institute of Technology and Higher Education), Nikolaos-Ion Terzoglou (National Technical University of Athens), and Stephen Wischer (North Dakota State University).
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.490 | 0.324 |
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".