Joana Hadjithomas & Khalil Joreige
Bibliographic record
Abstract
"Since the mid-1990s, Lebanese artists Joana Hadjithomas & Khalil Joreige (b. 1969, live and work in Beirut and Paris) have worked together in the visual arts and in cinema, making documentaries and narrative films. In 2008, they presented their narrative feature I Want to See, starring Catherine Deneuve and Rabih Mroué at the Festival de Cannes. In 2012, they completed their documentary The Lebanese Rocket Society. Their practice in both fields is imbued with a distinctive aesthetic that occupies spheres of the visible and the fictional, fostering a fascinating back and forth between life and fiction. Investigative processes, excavation, and the representations of historic, social, cultural, and political factors are at the heart of their practice. In their words: "All our work exists on the frontier of a reality where the question of the territory and its delimitation (that of art, that of personal life), the question of the social body and the individual body, are constantly being posed." This first monograph dedicated to these artists is a generously illustrated publication tracing the duo's bodies of work from the early psycho-geographic mapping of Beirut to recent projects gathered together under the title Lebanese Rocket Society. Essays by Suzanne Cotter, Director of the Serralves Museum of Contemporary Art, and cinema critic and historian Jean-Michel Frodon, as well as a conversation held by Michèle Thériault, Director of the Leonard & Bina Ellen Art Gallery, Montreal, with fellow artists and thinkers (Jalal Toufic, Etel Adnan, Dominique Abensour, etc.), explore the numerous themes of their practice." -- Publisher's website.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".