France 2007, Greece 2007, Calgary 2007 and National Geographic 2006
Bibliographic record
Abstract
Collage: Assembling Contemporary Art is the first authoritative survey of the history of collage from its origins through to the latest work being produced by artists today. From the traditional ‘cut and paste’ method through to digital, three-dimensional and installation work, and in the incorporation of contemporary concerns such as environment and commercialism, collage is experiencing an exciting renaissance.\nCollage: Assembling Contemporary Art is the first authoritative survey of the history of collage from its origins through to the latest work being produced by artists today. From the traditional ‘cut and paste’ method through to digital, three-dimensional and installation work, and in the incorporation of contemporary concerns such as environment and commercialism, collage is experiencing an exciting renaissance. Collage draws together the work of influential artists to contextualize the art being produced today. Collage features the art of such internationally acclaimed artists as Picasso, Schwitters and Ernst, Hannah Hoch, Marta Rosler, John Stezaker, Richard Hamilton, Layla Curtis, David Salle, Eduardo Poalozzi, Javier Rodriguez, Robert Rauschenberg, David Thorpe, Fred Tomaselli and many more. In addition to using works by these artists to provide a comprehensive overview of this exciting art form, Collage also includes essays written by artist and critic, Sally O’Reilly, artist Ian Monroe, and an interview\nbetween critic and writer, David Lillington, and artist, John Stezaker, outlining the history of the medium and critically addressing how collage is being used throughout contemporary art today
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.122 | 0.030 |
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".