Fake Views—or Why Concepts are Bad Guides to Art’s Ontology
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
It is often thought that the boundaries and properties of art-kinds are determined by the things we say and think about them. More recently, this tendency has manifested itself as concept-descriptivism, the view that the reference of art-kind terms is fixed by the ontological properties explicitly or implicitly ascribed to art and art-kinds by competent users of those terms. Competent users are therefore immune from radical error in their ascriptions; the result is that the ontology of art must begin and end with conceptual analysis. Against this tendency towards concept-driven ontology, I offer a trio of objections derived from: (1) the cultural and temporal variability of concepts of art, (2) the systematic tendency, on the part of would-be ontological assessors, to err on the side of familiar categories or, conversely, to exaggerate minor differences between familiar and unfamiliar practices, and (3) the influence artworld precedents exert over expert and folk concepts alike. These considerations, I argue, mandate an epistemic humility that is simply unavailable to the concept-descriptivist.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it