Buoyancy as an architectural image of the transition between the age of printing and the culture of cyberspace
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
Click to increase image sizeClick to decrease image size Notes 1. M. McLuhan, Understanding Media (Toronto, University of Toronto Press, 1964), p. 348. 2. S. Giedion, Architecture and the Phenomena of Transition (Massachusetts, Harvard University Press, 1971), p. 2. 3. M. Carpo, Architecture in the Age of Printing (Massachusetts, MIT Press, 2001), p. 46. 4. Ibid., p. 5. 5. M. McLuhan, Understanding Media, op. cit., pp. 170–174. 6. M. Carpo, Architecture in the Age of Printing, op. cit., pp. 46–49. 7. Ibid., p. 13. 8. Ibid., p. 46. 9. Ibid., p. 115. 10. M. McLuhan, Understanding Media, op. cit., p. 42. 11. S. Giedion, Space, Time and Architecture (Massachusetts, Harvard University Press, 1967), p. 262. 12. C. Rowe and R. Slutzky, Transparency (Basel, Birkhauser, 1997), pp. 22–23, 32. 13. P. Levy, Cyberculture (Minneapolis, University of Minnesota Press, 2001), p. 20. 14. M. McLuhan, The Gutenberg Galaxy (Toronto, University of Toronto Press, 1962), pp. 265–266. 15. M. McLuhan, Understanding Media, op. cit., pp. 3–4. 16. J. Baudrillard, Simulacra and Simulation (Ann Arbor, University of Michigan Press, 1994), pp. 13–14. 17. This resonates with Louis Kahn's definition for architecture: ‘Architecture is about making rooms and a room is a space of the mind’. 18. M. McLuhan, Understanding Media, op. cit., pp. 325–326. 19. Ibid., p. 3. 20. M. McLuhan, Explorations in Communication (London, Jonathan Cape Ltd,1960), p. 70.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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