Le déplacement de la mémoire dans l'oeuvre romanesque de Milan Kundera
Bibliographic record
Abstract
This study suggests a combined reading, between memory and displacement, of three different Milan Kundera novels where characters are exiled (The Book of Laughter and Forgetting, The Unbearable Lightness of Being and Ignorance). Our hypothesis is that the displacement comes with a change in the way that the exiles remember the past: since they cannot count on linear memory (related to the modern regime of historicity) to conserve a link with a past from which they are spatially separated, they resort to a new kind of memory that we propose to define as variational memory. To define this term, the Homeric intertext will serve as an interpretive key: the figure of Ulysses, called upon by the narrator of Ignorance concerning the theme of exile and nostalgia, gives the opportunity to see how variational memory (memory by return of motifs) is built like an answer to the impossibility of epic memory (idealistic memory of a perfectly conserved past) and the failure of linear memory (which is always falsifiable).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".