Remembering Genocide: The Sacred Madonna and Narrative Closure in Atom Egoyan’s <i>Ararat</i>
Bibliographic record
Abstract
Cette étude examine le cadre épistémologique d’ Ararat (Atom Egoyan, 2002) afin de comprendre le génocide arménien. Confronté à une demande de spectacle sensationnel et à l’impossibilité de le visualiser, le film Ararat montre comment narrativiser les traumatismes persistants de ce passé. L’article montre la façon dont ce film utilise la famille comme structure narrative, avec l’image sacrée de la Madone et de l’Enfant en son centre, afin d’articuler les effets moins spectaculaires, et silencieux du traumatisme historique. Traquant des « actions de désir » et leurs moments de catharsis, l’article tente de montrer qu’en renonçant au spectacle sensationnel, le film met en lumière la mélancolie de « sans avenir » produite par une postmémoire de génocide. En mettant en avant-plan l’affiliation étroite de Celia avec la famille, l’article soutient que sa relation tenue fait d’elle un personnage central dans l’articulation et la survie de la mémoire du génocide. Ainsi, l’esthétique postmoderne du film permet de traiter des « outsiders » dans son défi de reconnaissance du génocide arménien.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".