Bibliographic record
Abstract
must have spent a great deal of time answering the question: "Why milk?"The result of more than a decade of research, Hayes's survey of the appearance and use of milk in contemporary, photo-based art from the 1960s through the 1980s might at first appear to be aimed at a niche market of food-obsessed art historians.As Prefix Institute of Contemporary Art Director Scott McLeod notes in his foreword to the volume, "[m]ilk is an unusual topic" to take up in a full-length publication (20).But to say that Milk and Melancholy is "about milk" is a bit misleading; Hayes's actual object of study is what he terms the "milk-splash discourse" throughout the history of photography (23).From early scientific experiments and commercial photography, to West Coast photo-conceptualism and performance, and finally to the more recent staged photography of General Idea and Jeff Wall, Hayes's thorough study uses falling, thrown, and airborne milk as a fascinating and multifaceted subject through which to explore traces of the human body in conceptual art practices.Hayes writes of his investigation into the appearance of the milk-splash: "The most remarkable thing about these images was that milk was invariably the locus of a disturbance . . .[that] recurred with the regularity of a trauma" ( 22).The study is therefore not necessarily about the substance of milk per se, but about how artists charge it with symbolic meaning.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.027 |
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".