Bibliographic record
Abstract
Marjolaine Lévy, recipient of the TRAVERSES -Grant for Art Criticism 2022, inaugurates with her essay the new framework of the partnership that exists since 2016 between the Institut français, in collaboration with the Ministry of Culture's Direction générale de la création artistique, and the Archives de la critique d'art, which aims to promote French criticism and theory.Following an annual call for applications, TRAVERSES supports the writing, publication and dissemination of a critical essay focusing on an international event in the field of visual arts.The idea is to offer crossroads to enable original intellectual projects to be rapidly carried out.The grant allows the beneficiary to travel to one or more artistic events, to benefit from Critique d'art's editorial support and to be published in French and English for a wide international readership.For her survey, Marjolaine Lévy decided to explore abstraction in the Arab world, combining three destinations that have made it their focus: Mathaf [Arab Museum of Modern Art] in Doha (Qatar), the Belgian contemporary art centre WIELS, which foregrounded the work of Lebanese artist Huguette Caland in a large-scale solo exhibition, and the Herbert F. Johnson Museum in Ithaca (USA), the fourth location of the travelling exhibition Taking Shape: Abstraction from the Arab World, 1950s-1980s.Her overview brings to light the curatorial and theoretical difficulties that occur when trying to address an aesthetic phenomenon that disrupts Western interpretative frameworks.Disappointments and discoveries alternate in Marjolaine Lévy's essay, which reveals the breadth of the artistic worlds and generations she examines, questioning the tradition of the new and drawing attention to the position of female artists.The scope of this topic emphasises the need for future writings.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".