Bibliographic record
Abstract
trois ans ont dclench une importante activit ditoriale qui claire l'impact de l'artiste canadien sur la photographie contemporaine. l'occasion de la premire rtrospective au Schaulager de Ble a paru le catalogue raisonn de l'artiste 1 ; plus modeste, l'exposition de la Tate Modern Londres a t accompagne d'un colloque dont les actes viennent de paratre dans un numro spcial de l'Oxford Art Journal (vol. 30/1, 2007) ; enfin, l'occasion de la rtrospective Jeff Wall aux tats-Unis coorganise par Peter Galassi et Neal Benezra (New York, Museum of Modern Art/San Francisco, Museum of Modern Art, 2007-2008), a paru une nouvelle slection d'crits et d'entretiens de l'artiste 2 . 2 En France, l'oeuvre de Jeff Wall a fait l'objet d'une monographie signe par Jean-Franois Chevrier, auteur galement de l'essai introductif du Catalogue raisonn du Schaulager. En vue de la parution de son livre sur la photographie -dont le titre provisoire est Ontological Pictures: The argument of recent photography -Michael Fried a inclus, quant lui, dans son dernier ouvrage Contre la thtralit. Du minimalisme la photographie contemporaine, un chapitre consacr la photographie, manifestant ainsi nouveau son intrt pour Jeff Wall 3 . Dans sa premire partie, le recueil propose de (re)dcouvrir l'activit critique que M. Fried dveloppait dans les annes 1960 autour
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 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".