MEMORY TRANSMISSION, SURVIVAL AND MULTICULTURALISM IN CONTEMPORARY CANADIAN LITERATURE
Bibliographic record
Abstract
Abstract In 2014, the Quebecois writer Catherine Mavrikakis published Diamanda Galas, a tribute to the American artist performer of Greek origin, Diamanda Galas – at the Montreal Publishing House, Héliotrope, inaugurating a new collection, “Guerrières et Gorgones” (Warriors and Gorgons). At the same time and in the same collection, Martine Delvaux published a tribute to the American photographer Nan Goldin, in an eponymous essay. “What survives from/through artists who are prophets of the contemporary?”, inquires Mavrikakis. Acting on the tragedy of history and transgressing it, how can literature and art play with experiences of memory transmission and “survival” without necessarily working “to fix” them? What is at the heart of this link between history and creativity, reaffirmed by Georges Didi-Huberman in Survivance des lucioles? Through reflections on transcultural transference, multiculturalism and the power of women to transgress traumatic experiences, this article explores the question of memory transmission in two contemporary narratives on art and the AIDS period of the 1980s.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.048 | 0.037 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".