Bibliographic record
Abstract
In the early 1980s, Jacques Derrida, together with Peter Eisenman, participated in the Paris Parc de La Villette project under the direction of head architect Bernard Tschumi. Tasked with the production of a “garden,” Derrida and Eisenman took their inspiration from the platonic concept of the khôra. Ultimately six times over budget, the Derrida/Eisenman garden was not included in the Parc de la Villette; the only record of the experiment being Chora L Works, a collection of transcripts and essays documenting the various meetings and exchanges between Eisenman, Tschumi, and Derrida. These exchanges, read together with Derrida’s broader consideration of the khôra (in particular) and of the trace (more generally), can be seen to form a dialogue on the aesthetics of space. But this is not mere architectural discussion or theory; Derrida’s implicit and explicit discussions of space imply a particular textual and typographic practice that implicates works such as Glas, The Post Card, and The Truth in Painting not to mention Chora L Works itself. Through the columns of Glas, framed by the borders of The Truth in Painting, the structural and literal holes of Chora L Works invite the consideration of the Derridean architextual practice – from the aesthetics of the textual space to the anesthetics of spatial text.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".