Prises de vue clandestines comme exercice du (contre)pouvoir de l’art : Trevor Paglen et Mohamed Bourouissa reprennent le contrôle du visible
Bibliographic record
Abstract
L’article soulève le potentiel subversif de démarches artistiques contemporaines qui se positionnent face à la domination du regard et de la production d’images en visant des territoires invisibles, inaccessibles ou interdits. À travers les analyses de deux projets artistiques réalisés illégalement en prison — Temps mort de Mohamed Bourouissa et Recording Carceral Landscapes de Trevor Paglen — et de plusieurs séries photographiques de Trevor Paglen investiguant sur des secrets de l’armée américaine ou sur les câbles Internet transatlantiques, l’auteure présente les modes opératoires et les enjeux de telles représentations « volées ». Aux yeux de l’auteure, si ces oeuvres dévoilent des vues inédites, elles le font pour inviter à penser différemment le réel et exemplifier des possibilités de résistance menées de l’intérieur de la société du contrôle.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".