Bibliographic record
Abstract
In the quarter century since his death, much has been made of Nabokov as a thinker, as a metaphysician and moralist. We have learned a great deal, but D. Barton Johnson has recently challenged readers of Nabokov by asking, wouldn't we still be fascinated by his work even without his ideas? Although Nabokov would write differently in all sorts of ways if his metaphysics and ethics were thinner and poorer, Johnson surely is right, we would still read Nabokov without them. Why would we? The obvious first answer is style. Nabokov is widely and justly regarded as a high-water mark of literary style. But although we admire the style of Speak, Memory , or Nabokov’s forewords and afterwords, or even Strong Opinions , we would not be drawn back to Nabokov again and again if there were just style and no story in his work. The dazzling detail, the inventive imagery, the patterned prose, the sinuous sentences, the thrill of the thought are all very well – very, very well – but even they are not enough.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".