La malédiction littéraire : constitution et transformation d'un mythe
Bibliographic record
Abstract
Long before the publishing of Verlaine's Poetes maudits , it has been written and thought, in various circles and contexts, that writers of genius were doomed to an unhappy life. Nevertheless, it was only about 1760--1770 that the conditions allowing for the emergence of a myth of the unhappy writer were gathered. This myth affirms the christlike vocation of the author and associates greatness to unhappiness. This thesis seeks to understand this mythical phenomenon within a historical perspective. The first part recounts the three principal families of topoi associated, before 1770, to authorial unhappiness. These three series are those of melancholy, poverty and persecution. In the chapters concerning these topoi, the objective is to bring to light their specificity and also the representations and the exempla that they call to mind. Moreover, the goal is to identify the connections that are at work, in discourses, between melancholy and genius on the one hand, poverty and truth on the other hand, and finally persecution and merit. Even if one can't already consider that these various discursive connections are sufficient to build a mysticism of the unhappy man of letters, they still can be studied, in their context, for what they are: a pool of topoi where the writers would soon draw some discursive materials, and from which this myth will get its historical acceptability, its obviousness. The second part of the thesis is devoted to the study of this obviousness. After Rousseau, some believe that unhappiness is inseparable from genius, and that literary vocation is a curse spelled on the poet. From then on, the object of study is not anymore to follow each topos as if it was a separate thread, but instead, to see how all this acquires the value of commonplace (lieu commun ) between 1770 and 1840, in addition to imposing itself as an horizon of meaning. The last chapter and the epilogue show that the myth lives on, during the second half
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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 | 0.008 | 0.012 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".