Bibliographic record
Abstract
The work uses the photographic image as both its subject and media. Reid photographs advertisements, newspapers, magazines, TV shows, and found objects. The photographic finish or precision of this source material, and the attendant consumerist rhetoric, is then degraded and its meaning subverted as it is collaged together, ‘defaced’ with hand drawn marks, and eventually re-photographed and re-printed in black-white. Collage becomes a process of détournement in which the viewer is confronted with the sexualised, the vulgar and the excessive ‘substrate’ of popular imagery. ‘Take No Photographs, Leave Only Ripples’ was first exhibited in the group show ‘Karaoke - Photographic Quotes’, Fotomuseum Winterthur, Switzerland. The work was included subsequent exhibitions: ‘Free’, New Museum, New York; ‘Newspeak: Contact’, International Photography Festival, Toronto; ‘British Art Now’, Saatchi Gallery, London; ‘Karaoke’, Fotohof, Salzburg (all 2010). Elements of the work are reprinted in Reid’s artists’ book project Faker Drinker Soldier Heiress, published by Bookworks, London, 2010.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.088 | 0.050 |
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".