Écriture de soi, autofiction et poétique du féminin dans “La mauvaise mère” de Marguerite Andersen
Bibliographic record
Abstract
L’étude proposée du dernier roman de l’écrivaine franco-canadienne d’origine allemande Marguerite Andersen vise l’analyse de la projection textuelle d’une riche expérience cosmopolite chez cette auteure. Les stratégies discursives et la combinaison de genres autour de l’écriture de soi présentes dans La mauvaise mère (2013) dévoilent une configuration de l’univers féminin qui contribue à comprendre la condition féminine dans la société occidentale contemporaine. L’écriture de Marguerite Andersen devient un reflet des nouveaux enjeux esthétiques des littératures francophones actuelles qui comptent désormais avec de nombreux écrits introspectifs autour du déplacement sous une perspective de genre.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".