Confessional Realism versus Gothic Fiction in Vladimir Nabokov's Lolita and Silvia Path's "Daddy"
Bibliographic record
Abstract
The 1950’s and 60’s were an era in which confessional poems, like Sylvia Plath’s “Daddy,” captured the popular imagination, but it is often forgotten that one of the most famous prose works of the time was also presented as an act of confession, Vladimir Nabokov’s Lolita, containing Humbert Humbert’s manuscript Lolita, or Confession of a Widowed White Male. Inspired by this parallel, Ellen Jamieson makes an insightful argument that both works can be read as revised Gothic tales, in which a vulnerable young girls is victimized by an oppressive patriarch. The difference, of course, is that in the case of Lolita, it is the villain Humbert who tells the story, while in “Daddy” the victim speaks for herself. However, as Jamieson notes, in both instances the situation is complicated by the fact that each account is seriously unreliable, compromised as it is by the turbulence of the speaker’s emotional condition. –Dr. David Evans
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".