Bibliographic record
Abstract
Using insights from comparative imagology the image of Vilnius in Joseph Arthur Gobineau’s novel The Pleiades (1874) has been analysed in the paper. Presumably, the name of Vilnius was first mentioned by Olympe Chodzko, his Parisian acquaintance, in her short story, its scene is laid in Vilnius. The way Vilnius is imaged depends on context. Where Vilnius is compared to the privileged Saint-Honoré quarter in Paris a tinge of phobia arises unavoidably because Vilnius in no way is comparable to Paris. Likewise is imaged Vilnius by Sophie Tonska, Marquis Candeuil’s sweetheart. Marquis Candeuil selected Vilnius for his residence from seven possible cities accidentally, by drawing lots. That attitude of the protagonist can be related to idiocracy. Where the author writes about Vilnius in the St. Petersburg-Warsaw railroad construction context his philia can be felt. Vilnius is imaged not only in this context, but also through Marquis Candeuil’s thoughts pertaining to the essential problems raised in the novel. Finally, all that reveals that the image of Vilnius in the novel, at first glance so unintentional, actually pertains to the whole system of the novel.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".