Bibliographic record
Abstract
Readers of Dracula have been assured repeatedly that the novel is all about sex. Indeed, every sexual practice, fantasy and fear imaginable has been thrust upon its pages: rape (including gang rape), aggressive female sexuality, fellatio, homoeroticism, incest, bestiality, necrophilia, pedophilia, and sexually transmitted disease. Words have been twisted to yield new meanings, passages have been examined out of context, and gaps in the text have been declared intentional omissions. Furthermore, critics comb every aspect of Stoker’s life looking for evidence for their particular brand of psychosexual analysis, sometimes even inventing “facts” to support flimsy theories. The preponderance of such readings of Dracula demands re-assessment. While it would be folly to deny any erotic content in a novel about biting and sucking, the incessant pursuit of this path has led us down the slippery slope of revisionist biography and reductive textual nit-picking. Such readings may be a product of the late twentieth century’s voyeuristic obsession with sexuality, coupled with a determination to project (sometimes in condescending fashion) its own self-proclaimed sophisticated and liberated views onto a Victorian text - and its author.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.024 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".