Crafty Entanglements: Knitting and Hard Distinctions in Aesthetics and Political Theory
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
Many theoretical writings on aesthetics and politics rely on hard distinctions between what is and is not art, and what is and is not political. In this article, I draw on the work of theorists, knitters, and fiber artists to argue that hand knitting provides a lens through which to unsettle some of these distinctions. I illustrate some of the ways in which aesthetic theory relies on hard distinctions between art and not-art and politics and not-politics, with particular focus on the work of Kant, Hegel, Heidegger, and Rancière. I explain how knitting is often seen as falling clearly outside the definitions of art and politics, and explore the surprising ways in which knitting shows the instability of these categories and expectations. I show that common social traditions and practices that often go unanalyzed can provide insight into the limitations and complexities of prevalent theoretical assumptions
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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