Carrière, Marie. Médée protéiforme. Ottawa : Les Presses de l’Université d’Ottawa, 2012.
Bibliographic record
Abstract
Médée, figure féminine incontournable de la mythologie grecque, mère coupable de fratricide et d’infanticide, a longtemps fasciné lecteurs, écrivains et chercheurs. Si le personnage de Médée constitue par son acte un être unique dans la mythologie, force est de constater que l’infanticide est un sujet prisé de la littérature féminine actuelle. Comparatiste de formation, Marie Carrière, professeure de littérature à l’Université de l’Alberta où elle dirige également le Centre de littérature canadienne (CLC), propose à ce titre de se pencher sur huit œuvres : La Médée d’Euripide (1986) de Marie Cardinal, Flowers & No More Medea (1994) de Deborah Porter, Médée, Récits de femmes et autres histoires (1986) de Franca Ramee et Dario Fo, The Hungry Woman : A Mexican Medea (2001) de Cherrie Moraga, New Medea (1974) de Monique Bosco, Médée : voix (2004) de Christa Wolf, Petroleum (2004) de Bessora et Le livre d’Emma (2002) de Marie-Célie Agnant). Ces œuvres, aussi différentes soient-elles par leur contexte, revisitent, à travers des procédés d’écriture et de réécriture variés, le mythe de Médée (l’infanticide apparaissant comme source de différend) et façonnent de manière ou d’autre, le discours féministe actuel.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.024 |
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".