Bibliographic record
Abstract
In this article, I offer to look at Narcisus et Dané and the Roman de Silence, two pieces of Old French poetry which have in common the refusal of the physical love of a noblewoman by the main character, leading to the unveiling of the “male nature” of Narcisus and the hidden female nature behind the manly appearance of Silence. I propose to read these passages as failures of a sexual initiation expected from young noblemen, and thus as a missed step toward an accomplished manhood. From this disruption into courtly narratives emerges the issue of unconventional desire and gender deviance, because the failure is not just a negative act, but also the creation of something unexpected, a different narrative and a new space. Following Judith Halberstam, I interrogate the possibility of a transgender or transversal look into these two stories, especially with the play between gendered expectations and agencies, the blurring of male and female points of identification for the reader and the gaze of Merlin, the wild man who sees the truth of nature under social surfaces. The purpose is to open up toward a more global understanding of what it is to become a man in the Middle Ages, what sexual behavior is expected from young people and how the poetry manages both gendered expectations and their questioning.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.037 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".