Bibliographic record
Abstract
Abstract: In October 2013, as part of his New York “residency,” British street artist Banksy staged an art sale in Central Park. Here, unadvertised and unannounced, he sold original Banksy canvases for only $60 each. The second part of the performance took place the following day as Banksy, by way of his New York blog, publicized this already concluded event, reminding his audience that “it will not be there again today.” Underlining the apparent fragility of the event (“it will not be there again today”), he quite literally capitalizes on the valuable vulnerability of his work which most New Yorkers couldn’t help but miss. It was this apparently fleeting existence that was precisely the quality that many had thought might exclude performance (and, indeed, street art) from a kind of commodity-driven market. However, as Banksy’s latest interventions demonstrate, it is precisely this sense of ephemerality which gives the work its value. Crystallized into a kind of “just-missed” aesthetic, Banksy’s skyrocketing economic worth rests upon a longing for this kind of intangible affective work; a longing translated rather easily into dollars and cents. In this article I explore the tensions between such apparently ephemeral work and a market so keen to acquire it, examining precisely how Banksy creates his place in the contemporary art and performance markets.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.006 |
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".