La mauvaise mère confessions : [roman]
Bibliographic record
Abstract
"Marguerite Andersen a huit ans quand Hitler prend le pouvoir, quinze quand la Seconde Guerre mondiale éclate, vingt au lendemain de l’armistice. Yeux baissés devant l’horreur, toute à sa soif de vivre, elle tourne fin 1946 le dos à cette Allemagne. Enceinte, elle suit en Tunisie l’amant français qui deviendra son premier mari. Ainsi s’amorce un parcours qui l’amènera, au fil de ses amours et de ses aventures, sur trois continents. Elle s’installe définitivement au Canada en 1958. À la suite de Jean-Jacques Rousseau, ces confessions au féminin : l’auteure/la narratrice, en retraçant les moments importants de sa vie, spécialement ceux en rapport avec ses enfants, en lien avec son rôle de mère, questionne ses choix, fait l’aveu de ses erreurs. Moments choisis, fragments, présentés de façon chronologique et nourris par des réflexions actuelles sur ces souvenirs. La prose se fait parfois hachurée – angoissée ? – mettant à profit le blanc – pause, silence – parce que l’émotion, à travers le souvenir, le commande."--Résumé de l'éditeur
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".