Actio et généricité dans les Angoysses douloureuses qui procedent d'amours d'Hélisenne de Crenne, suivi de "Sans Rosie"
Bibliographic record
Abstract
The critical section of this thesis focuses on the relation between rhetoric actio (enunciation and body language) and gender expression in the three protagonists of the Angoysses douloureuses qui procedent d'amours (1538). Drawing from classical rhetoric prescriptions from orators such as Cicero and Quintilian, it is possible to identify what qualifies "desirable" actio in a man's speech as well as what constitutes its negative (womanly) counterpart. With these prescriptions, the three protagonists, dame Hélisenne, Guénélic and Quézinstra, can be placed on a gendered spectrum where great oral skills equate to an ideal masculine ethos. As dame Hélisenne and Quézinstra both perfectly represent what is expected of their sex, Guénélic fails to uphold traditional masculinity and thus falls in between masculine and feminine ethe. The rise of gender studies since the late 1980s allows a new analysis of the protagonists' differences; performativity and differentiation play a part in redefining what makes a character inherently "masculine". The gender axis in the Angoysses douloureuses is thus disturbed and distorted. The creative part of this thesis, Sans Rosie, examines how one's ethos can be affected by immediate circumstances and trauma. Having fled Montreal and left her young daughter and ex husband behind, the unnamed narrator reflects on motherhood; her and her mother's relationship, her own marriage, subsequent pregnancy and, finally, her rapport with her young daughter Rosie. As times flies by in her New Orleans motel room, memories and self-doubts force her to re-examine her role as a mother as well as her ambitions. Through reflecting and guidance from her encounters, she paints herself a new identity, outside of others' definitions of who she is. The link between the thesis' two sections is primarily thematic. The Angoysses douloureuses qui procedent d'amours portray a process of alienation: the two young lovers abandon their individuality in order to succumb to love. The woman in Sans Rosie is precisely fleeing this alienation. Her Montreal life has rid her of her identity – as she is defined by others – so she runs away to slowly rebuild her sense of self
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".