Bibliographic record
Abstract
Si Un amour de Swann de Marcel Proust constitue en quelque sorte une référence de la description des états d’âme de l’amoureux et du jaloux, tout n’est pas seule passion dans ce fragment d’À la recherche du temps perdu. Différents aspects du texte le font glisser du côté du comique et remettent ainsi en question la lecture au premier degré de l’amour. Cet article propose un regard sur ces aspects comiques qui concernent la vision que le grand-père du narrateur a de Swann, les personnages du salon Verdurin, le point de vue restreint de Swann qui l’entraîne dans des actions dignes de la comédie, sans oublier la fin du récit en double renversement ironique. AbstractIf Swann’s Way by Marcel Proust constitutes a type of reference regarding the description of feelings of the lover and the jealous lover, not all is passion in this fragment In Search of Lost Time. Various aspects of the text slip into a comic register, thus questioning a first-degree reading of love. This article proposes a look at these comedic aspects, which concern the vision that the grandfather of the narrator has of Swann; the characters of the Verdurin salon; Swann’s restricted point of view, which steers him into actions worthy of comedy; without forgetting the end of the story with its double ironic reversal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".