Philosophie amoureuse et destinée de la mal mariée au XIXe siècle
Bibliographic record
Abstract
This thesis examines the character of the unhappy bride in three French novels of the 19th century: Le Lys dans la vallee (1836) by Honore de Balzac, Madame Bovary (1857) by Gustave Flaubert and L'Assommoir (1877) by Emile Zola. It compares the heroines' tragic destinies based on the following points: childhood; education; marriage; the philosophy of love and psychology; and escapism and death. We are shown that it is education that leads to the philosophy of love, which is filled with ideas of platonic love, and that unhappy marriages involve compensation. Research by psychoanalyst Karen Horney is applied to the characters found in the novels to explain their deviant behaviour (masochism, bovarism, narcissism, detachment). Each heroine demonstrates a tendency towards the ideal and illusions inherited from romanticism. Their fates are sealed with the failure of their dreams and the victory of reality over fantasy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".