Ascenso y caída de los paradigmas visuales: Una entrevista con Mario Carpo
Bibliographic record
Abstract
Entrevista realizada por Stephannie Fell Contrerasen The Bartlett School of Architecture (10 de marzo, 2020) y a trave?s de Zoom (14 de abril, 2020) Mario Carpo es Reyner Banham Professor de Historia y Teori?a de la Arquitectura en The Bartlett School of Architecture. Especializado en historia de la teori?a arquitecto?nica e historia de las tecnologi?as culturales, se ha enfocado en el periodo moderno temprano y la teori?a del disen?o digital contempora?neo. Es autor de The Second Digital Turn (MIT Press, 2017), The Alphabet and the Algorithm (MIT Press, 2011) y Architecture in the Age of Printing (MIT Press, 2001), entre otros libros.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.024 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 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".