Bibliographic record
Abstract
Although Jeff Wall's last exhibition in a French institution already dates back to 1995 (Jeu de Paume), today sees the publication of two books which complement the impressive catalogue raisonné of the Canadian artist's oeuvre, which was shown in all its splendour in the retrospective held in the vast arena of the Schaulager 1 in Basel in 2005.Adding his name to the list of critics forever associated with an artist or a movement, Jean-François Chevrier here puts his name to an ambitious essay, going back over Jeff Wall's career while at the same time singling out his most recent pieces.It is a constant factor-and the authors of the second book manage to examine it with undisguised enjoyment-that Jeff Wall's oeuvre and writings offer a ballpark informed by unusual intellectual rigour.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.038 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".