Bibliographic record
Abstract
Women poets of the nineteenth century remain for the most part marginalized in the study of French Romanticism, despite the historical fact that women turned to poetry in increasing numbers during the July Monarchy. The poetess’s enduringly ambiguous situation is reflected in the linguistic instability of the terminology used to designate her. This essay takes as its starting point the linguistic uncertainty surrounding the term "poétesse" in the nineteenth century and compares it to Anne Mellor’s definitions of the poetess and the female poet. In a survey of French Romantic poetesses (Desbordes-Valmore, Tastu, Gay, Mercoeur, Ségalas), Mellor’s distinction between two traditions proves to be untenable, as poetesses straddle the fine line between domesticity and social engagement. Ultimately, Mellor’s definition of the poetess in opposition to the female poet does however resonate with French women poets’ critical reception: the invention of thepoétessehas largely obscured the critical assessment of women poets’ social engagement.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.011 | 0.042 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".