<i>Dimensions in Testimon</i>y : illusion holographique et interaction par-delà la mort
Bibliographic record
Abstract
Le présent article traite de Dimensions in Testimony, une technologie d’hologrammes 3D interactifs permettant aux visiteurs de différents musées de rencontrer et d’interroger des survivants virtuels de la Shoah qui racontent leur histoire personnelle. L’article se concentre sur les notions de « mémorial » et de « témoignage ». Après un bref rappel de l’historique et du rôle des représentations visuelles et textuelles de la Shoah, un arrêt sur ces images holographiques montre comment elles permettent de réunir les vivants et leurs doubles et, bientôt, les vivants ainsi que les morts ou leurs doubles. Enfin, à partir d’un survol de la littérature traitant de ces « illusions », d’entrevues réalisées au Musée de l’Holocauste de Montréal et de mes propres interactions avec cette technologie, ce que ces images disent de notre rapport à la mort est mis en lumière.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".