La queerisation du mythe de la succube : les scripts de la bisexualité dans<i> Lost Girl</i>
Bibliographic record
Abstract
L’article propose une analyse textuelle de la série fantastique canadienne Lost Girl (Showcase, 2010-2015) créée par Michelle Lovretta. En recourant aux théories féministes, aux études sur la bisexualité, ainsi qu’à la théorie des scripts sexuels, l’article se penche sur les transgressions représentées dans la série par rapport aux rôles souvent passifs des femmes dans les scripts hétérosexuels traditionnels. Les intrigues, dans Lost Girl, sont centrées sur le personnage de Bo Dennis, une succube bisexuelle qui pratique une sexualité multipartenariale. Cette série innove en présentant ainsi une femme active, agentive et vivant une sexualité débordante et saine sans subir le slut shaming associé à ce type de transgression. L’analyse montre aussi que la bisexualité du personnage permet de transformer la figure patriarcale de la succube incarnant la peur masculine de la sexualité des femmes, en une figure héroïque, féministe, queer et antispéciste.
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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 | 0.001 | 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 | 0.007 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".