Bibliographic record
Abstract
L'article s'interroge sur les composantes de ce qui caractériserait la diaspora, en particulier la diaspora arménienne et cela en se posant principalement la question suivante : qu'est-ce que l'héritage (complexe et tragique) de l'origine arménienne implique lorsque l'on est assimilé à une autre nationalité et culture, lorsque l'on vit en dehors et loin du pays d'origine ? C’est à travers une analyse détaillée du film expérimental Girl from Moush (1993), de la cinéaste canadienne d'origine arménienne Gariné Torossian, que l'auteur tente de répondre à cette question en démontrant de quelle façon et pour quelle(s) raison(s) les Arméniens de la diaspora (essentiellement en Occident) se fient et se lient aux images - images de la patrie originelle, ses figures et ses symboles culturels, voire ses clichés. Le film, basé sur la technique du collage, rassemble des images variées typiquement liées à l'Arménie (par exemple, les églises) ; la recomposition de ces images accentue non seulement leur portée iconique mais aussi mémorielle.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".