Bibliographic record
Abstract
A Tale of Two Cities is one of Dickens’ most important masterpieces and is one of the famous novels taking the French Revolution as its background in British literature. Dickens’ works always convey his deep sympathy for the plebeian and pitilessly reveal the social vices. With A Tale of Two Cities, Charles Dickens asserts his belief in the possibility of resurrection and transformations both on a personal level and a society level. This article, in accordance with the plot of the story and the characters’ personalities as well as the relation between the characters, analyses the specific embodiment of “resurrection” in three main characters with details. By this, the author points out that resurrection is a powerful theme which is applicable outside of the novel’s setting but can be read between the lines. Key Words: Charles Dickens, A Tale of Two Cities, Resurrection, Rebirth Resume: “Un conte de deux villes” est un des plus importants chefs-d’oeuvre de Dicken , un des contes les plus connus de la litterature anglaise sous le contexte de la Revolution francaise . Les oeuvres de Dicken montre toujours sa sympathie pour de simples gens , et revelent sans merci les vices sociaux . Avec “ Un conte de deux villes ” , Charles Dickens affirme sa croyance a la possibilite de la resurrection et de la transformation non seulement au niveau personnel mais aussi au niveau social . Ce texte , en concordance avec l’intrigue de l’histoire , les caracteres des personages , ainsi que la relation entre les personnages , analyse de facon detaillee l’incarnation specifique de “Resurrection ” dans les trois heros principaux . A travers cela , l’auteur affirme que “Resurrection ” est un theme puissant qui est applicable en dehors du contexte du conte , et peut etre lu entre les lignes . Mots cles: Charles Dickens, “Un conte de deux villes”, Resurrection, renaissance
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.027 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".