Bibliographic record
Abstract
The Oriental paradigm in Vladimir Nabokov’s Lolita is both explicit (Oriental elements crop up regularly in the novel) and diffuse, in the sense that it offers a model for the development of spatial and narrative progress in the text. Several obvious Oriental motifs could be mentioned: the harem, the pubescent concubine, the oriental decorations of Quilty’s and Gaston Godin’s homes, the imaginary fresco at the Enchanted Hunters, American motels compared to caravansaries, the veil that allows Humbert to catch furtive glimpses of the nymphet’s body. Quilty quotes from the Rubayat, while Humbert refers to the Arabian Nights. The quest for the nymphet is occasionally formulated in terms of Oriental imagery, seen and invented from a European perspective, which allows Humbert to camouflage the moral issue at stake in his relationship with Lolita. Nabokov’s Oriental intertexts, which have not at all been analysed by critics, can be found in Ada as well (although this paper will only focus on Lolita).Going beyond these obvious motifs, Lolita’s Oriental paradigm can also be uncovered, more subtly, in what we could call the “spatial narrative” or “narrative of space” that Humbert invents for the nymphet’s delight when the two of them “put the geography of the United States into motion”. Their trips across the United States are presented as an endless postponing of the fatal ending, as fragmented narratives interrupted by pauses and breaks – just like the Arabian Nights. Moreover, the fundamental association between narrative and sensuality brings together Lolita and the Arabian Nights. Humbert compares himself to a sultan several times, but, upon closer scrutiny, it turns out that he is rather Sheherazade, who needs to invent new appealing stories to amuse Lolita and to keep her close to him. In this sense, Humbert’s model is Proust’s Marcel in The Prisoner, who confesses that, in order to prevent Albertine from running away, he needs to deploy “more ingeniousness than the Persian narrator”.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".