Bibliographic record
Abstract
In the Western tradition, architectural precedents remain limited to buildings. Consequently, the plurality of ways of making worlds is rendered silent. Reckoning with embodied knowledge as an architectural precedent, this chapter reexamines the operations that architectural knowledge production legitimizes. Drawing on Israeli-born artist, curator, and historian Ariella Aïsha Azoulay, this chapter addresses this critical process as an ‘architectural rehearsal’ that involves thinking with bodies, practices, and forms of knowledge that affirm a plurality of spatialities and worlds. It outlines these embodied practices and gestures as what Spanish architect and scholar Lucía Jalón Oyarzun calls “minor architectures,” or uncommon precedents for contemporary architecture. Dance and choreography can contribute to the affirmation and transmission of “minor gesture[s],” as conceptualized by Canadian philosopher Erin Manning, to address situations in which bodies, histories, grounds, and architectures maintain depleted relationships that reproduce violence and deny possibilities. The case of the Judson Dance Theater and contemporary practices that refer to it are discussed from this perspective. This chapter reveals that an inquiry into dance practices and the minor embodied knowledge they engage can be a veritable methodology for researching embodied architectural knowledge and histories and mobilizing them as uncommon precedents.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.063 | 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".