Forbidden Desire: Shades of Racinian Fatality in Marie Laberge’s <i>Juillet</i>
Bibliographic record
Abstract
Marie Laberge is widely recognized as a celebrated dramatist but has also written numerous novels that have been well received by readers and critics. Her first novel, Juillet (1989), highlights her theatrical style of writing, as the narrative focuses on the dramatic events that transpire between four members of a bourgeois Québécois family. It is during the oppressive heat of the summer that the family gathers to celebrate the matriarch Charlotte’s birthday. As the plot unfolds, there is little action but the psychological tension between the characters drives the narrative, enabling the reader to study their interior motivations. The strain between the four characters constitutes the locus of the “drama,” revealing an interesting connection to some familiar Racinian themes such as jealously, violence, hatred, and impotence. This article will consider the fatality of forbidden desire that draws the daughter-in-law, Catherine, to her charismatic father-in-law, Simon. To broaden the tragic perspective on Racine, it interpolates the ideas of Mitchell Greenberg and Roland Barthes on seventeenth-century literature to examine the portrayal of immoral desire and fatality, which points to a fascinating link between Racine and Laberge.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.027 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".