Bibliographic record
Abstract
Facing increased calls for “practical skills,” the arts and humanities are under immense pressure to demonstrate their value to a public that demands measurable metrics. As a response, graphic design has adopted the language of “research” as a way to engage with tangible benefits. Research, in turn, has emphasized applied learning and the field of engineering has been suggested by some as a possible model for graphic design education. This paper instead proposes architecture as a more aligned disciplinary model for education, practice, and research. During the late 1960s and early 1970s, architecture faced a crisis very similar to the one affecting graphic design today. But rather than relinquish disciplinary control to the positivist scientism of behavioral science, operational research, and design methods as they asserted control over the codes of architectural practice, a number of architects and educators sought architecture’s autonomy, an inward reflection on the methods, techniques, and questions that were restricted to how architecture sees itself. Architecture’s inward turn, or “criticism from within,” was ultimately responsible for its return to cultural significance.
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 | 0.027 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.015 | 0.115 |
| Scholarly communication | 0.020 | 0.021 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".