Cette autre-moi : hantise du double disparu dans le journal fictif féminin, de Conan à Monette et Noël
Bibliographic record
Abstract
Résumé La théorie du double comme technique romanesque, le Doppelgànger, s'est concentrée surtout sur les doubles masculins. Trois romans québécois écrits par des femmes - Angéline de Montbrun, de Laure Conan, Le Double Suspect, de Madeleine Monette et Babel, prise deux, de Francine Noël - fournissent des exemples d'un type de double féminin particulier. Il s'agit d'une femme aimée, qui est décédée en laissant un modèle d'écriture que la narratrice-personnage du roman prolonge dans ses propres écrits, au risque de se confondre avec ce double disparu. Dans les trois cas, ce phénomène se distingue du double masculin traditionnel par un rapport de collaboration et de solidarité avec l'autre-moi, qui contraste avec le schéma masculin de la destruction du double en faveur de la préservation du moi unique.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".