La vidéo à l’épreuve de la disparition (Julieta Hanono, Fiorenza Menini)
Bibliographic record
Abstract
La disparition politique — qui n’est pas encore un concept pour les sciences dites politiques — est un événement paradoxal : par définition, il n’y aura pas de témoins et les perpétrateurs ne parleront pas. C’est un engloutissement sans traces. Les deux vidéos étudiées de J. Hanono et de F. Menini redoublent le paradoxe parce que l’appareil vidéo, à la différence du cinéma, permet difficilement que le spectateur enchaîne sur l’oeuvre qui enkyste le maintenant d’une phrase-affect (Lyotard). Cette phrase-affect est ce qui subsiste d’un tel vécu traumatique, soit que la vidéaste ait vécu de l’intérieur sa propre disparition, soit qu’elle ait été témoin d’une destruction de masse. L’enjeu de ces vidéos est alors de rejoindre le maintenant passé du trauma, en luttant contre la répétition de la pulsion de mort (Freud) par la mise en place d’une représentation vidéographique.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".