Competing Selves in Madame de Lafayette’s La Princesse de Montpensier and the Nouvelle Historique
Bibliographic record
Abstract
This article analyzes the different selves operating in Madame de Lafayette’s La Princesse de Montpensier . Contrary to scholarship, which tends to position the text as a mere precursor of La Princesse de Clèves , it is in La Princesse de Montpensier where one first locates the interior. Lafayette presented a princess coming to terms with her identity, debating with different selves against a backdrop of social, historical, and political ideals. The nouvelle historique was central to the development of selves; it was an important medium through which Lafayette could perceive, explore, and contest a woman’s identity in relation to society. The genre also enabled writers to examine themselves. Lafayette used it to test out her own authorial self and locate her place in the literary sphere.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".