Design Science 2025 | Geometry of Uncertainty, Presentation: Andrew Witt
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Andrew Witt is an Associate Professor in Practice of Architecture at the Harvard Graduate School of Design, teaching and researching on the relationship of computation, AI, and machines to architecture, design, and culture. He is co-director of Harvard’s Masters in Design Engineering program, focused on transdisciplinary and trans-scalar systems design. Trained in both architecture and mathematics, he has a particular interest in a technically synthetic and logically rigorous approach to form. He is also co-founder, with Tobias Nolte, of Certain Measures, a Boston/Berlin-based studio that combines design and data for systemic and scalable approaches to spatial problems. The work of Certain Measures is in the permanent collection of the Centre Pompidou, and has been exhibited at the Pompidou, the Barbican Centre, the Venice Biennale, the Museum of the Future, and the Canadian Centre for Architecture, among others.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it