Entre scientifique et pittoresque : l’intervention du genre dans l’écriture hybride de Marie de Ujfalvy-Bourdon
Bibliographic record
Abstract
Le premier récit de voyage de Marie de Ujfalvy-Bourdon, De Paris à Samarkand : le Ferghanah, le Kouldja et la Sibérie occidentale. Impressions de voyage d’une Parisienne (1880) fait l’objet d’une stratégie éditoriale permettant à l’auteure de se raconter comme écrivaine-exploratrice, aux côtés de son mari, Charles-Eugène de Ujfalvy, l’homme de science. À travers l’étude des scènes de mesure anthropométrique réalisées lors de leur mission scientifique en Asie centrale (1876-77), je mettrai en évidence la dimension hybride, à la fois savante et pittoresque, de ces descriptions de l’altérité. D’une part, la terminologie scientifique diffuse et soutient les théories anthropologiques de son mari, d’autre part, sur un ton pittoresque, l’auteure enrichit les données ethnographiques d’une dimension narrative nouvelle. Cette tonalité singulière permet à l’auteure de négocier avec des contraintes de production et de réception du récit de voyage féminin au dix-neuvième siècle.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.027 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".