Le voyage revisité dans <i>Cleveland</i> , de l’abbé Prévost
Bibliographic record
Abstract
Dans son roman Cleveland (1731-1739), l’abbé Prévost s’intéresse longuement au moment où le narrateur donne un sens et une forme à ses pérégrinations passées, à travers l’écriture de ses mémoires. Confrontant le héros à ses contradictions, Prévost convoque les voix de témoins alternatifs, afin que les lecteurs ne puissent jamais se fier à une version univoque des déplacements qui leur sont narrés. Par ce procédé, Prévost déjoue la tentative du voyageur de dresser un bilan flatteur de ses expéditions et critique plus généralement l’art de voyager, traditionnellement associé au savoir et au progrès dans les écrits de l’Ancien Régime. Cet article s’intéresse en particulier à la réinterprétation permise par l’introduction de voix féminines dissonantes, qui viennent remettre en cause la version du narrateur livrée depuis le début du roman.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".