Dystopies et eutopies féminines : L. Bersianik, E. Vonarburg, E. Rochon
Bibliographic record
Abstract
Five "critical" utopias by Quebec women writers ( L'Euguelionne and Le pique-nique sur l'Acropole by Louky Bersianik; Le silence de la Cite and Chroniques du Pays des Meres by Elisabeth Vonarburg and L'Espace du diamant by Esther Rochon) make up the corpus of this thesis which aims to explore how the three novelists exploit the possibilities of this particular form of contemporary utopian writing. For these authors, the transformation of society depends upon the transformation of the individual. We therefore propose to examine the ways in which Bersianik, Vonarburg and Rochon represent, through the experiences of their characters, the social construction of individual identity. For our corpus, this entails a study both of the representations of gender and of the role of language in the construction of identity. We explore gender from a feminist perspective by examining the initial dystopian situation of the individual living in society; we then analyze the positive (i.e. eutopian) process of change undergone by the individual. This thesis begins by exploring a definition of literary utopia. We then trace the major periods in the history of literary utopia to provide background for our corpus. In chapter two, we examine the ways in which Bersianik, Vonarburg and Rochon denounce, through their fictional representations of the individual, dystopian configurations of gender. In particular, we study various "structural" metaphors used by the authors to interrogate the social role of women and the status of the female body in patriarchal society. In chapter three, we examine the new configurations of social and sexual identity proposed by the authors. We then study the author's treatment of the role of language in the social construction of individual identity in chapter four. After defining "sociolect" and introducing "sexualect", we apply these concepts to the study of the critique of sexist language and discourses of authority in our corpus. In chapter five, we explore how the authors employ discursive strategies, such as parody and "defamiliarization", to alter language and thus inscribe female subjectivity in language (Bersianik and Vonarburg) and to liberate individuals from the imprisonment of authoritarian discourses (Bersianik, Vonarburg and Rochon). Lastly, we find that after having examined the human condition in dystopian societies, our authors propose social projects that are infinitely dynamic and mutable rather than fixed models of an ideal social state.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".