La mémoire migrante: "Les urnes scellées" d'Emile Ollivier
Bibliographic record
Abstract
This article deals with the motifs of the present and the past in the work of Emile Ollivier, a modern Quebecois writer of Haitian origin, whose texts are permeated by images that pertain, on the one hand, to his exile in Canada and, on the other hand, to the picture of the native country as a souvenir. The problematics of temporality and memory are analyzed in detail by Paul Ricœur in his works Temps et récit and La mémoire, l'histoire, l'oubli, which are thus chosen as the main methodological references of this paper. In migrant literature, however, temporality is closely related to spatiality, as has been noted by Quebecois literary theorists, e.g. Simon Harel, which forms the second methodological point of departure of the study. The memory can be considered as a dynamic force in the text of the novel Les urnes scellées. A couple of Haitian emigrants, returning from Canada to their homeland after twenty-five years of exile, experience a harsh constrast between their memories and reality. Adrien's profession as an archaeologist nevertheless impels him to search for the past. He is obsessed by searching for the circumstances of a murder. In spite of the fact that his hunt for the murderer is in vain, Adrien uncovers a network of secrets and memories of the community, realizing how difficult it is to find his own roots. The analysis reveals that in the case of Les urnes scellées memory is closely connected to space, not only in individual cases, but also on a higher level, that of the country. The collective memory of Haiti finally appears as a part of message of the novel, the other part of which is the search for personal and national identity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".