“To Make It Belong to Who I Was, to Who I Became”: Atom Egoyan’s<i>Ararat</i>and Symbiogenesis among the Diaspora of the Armenian Genocide
Bibliographic record
Abstract
In Canadian-Armenian director Atom Egoyan’s film about the Armenian genocide, Mount Ararat is more than a symbol; as the titular character, it assumes a dynamic role. Indeed, Mount Ararat has historically played a co-constitutive part in the production of Armenian identity. The Armenian genocide threatened to sever symbiogenesis, the process of becoming together, between the mountain and its people. This symbiogenesis is captured in Ararat, which shows members of the diaspora grappling with the difficulty of accessing the sacred mountain, as well as lost territories in western Armenia/eastern Turkey, conveying what this deterritorialization means to their lives as displaced Armenians living in Canada. Through his representation of the contested landscape around Mount Ararat, Egoyan demonstrates that attending to this symbiogenetic relationship has significant implications for thinking through questions of diaspora identity, redress, and truth in the aftermath of the Armenian genocide.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".