« Marabou Stork Nightmares » d'Irvine Welsh. Épuisement du récit réaliste et mise en récit de l'Histoire
Bibliographic record
Abstract
La littérature prend acte de la pauvreté ressentie du réel contemporain en optant pour l’épuisement, tandis que les discours déployés dans l’espace public, pour pallier cette même pauvreté, deviennent le lieu d’une narrativisation croissante. Ces phénomènes, complémentaires, sont toutefois difficiles à appréhender simultanément : ils relèvent de domaines différents. Au moyen de l’exemple de Marabou Stork Nightmares d’Irvine Welsh (1995), je montrerai que le roman peut, cependant, rendre compte de ce double jeu. Le réalisme affiché y est corrompu par l’amnésie du narrateur, tandis que la dimension fantaisiste du roman propose une mise en récit de l’histoire écossaise et britannique qui conduit à une représentation sociale et littéraire en traversant les trames.AbstractLiterature expresses the poverty of our contemporary reality by its own exhaustion, whereas discourses displayed in the public space, to mitigate the same poverty, are increasingly narrative. These phenomena, though complementary, are difficult to comprehend simultaneously: they pertain to different domains. Using the example of Irvine Welsh’s Marabou Stork Nightmares (1995), I shall show that the novel can, however, take this double game into account. The realism displayed is corrupted by the narrator’s amnesia, whereas the novel’s fantastic dimension proposes a symbolic display of Scottish and British history, leading to a social and literary representation crossing its levels.
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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 | 0.012 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".