Bibliographic record
Abstract
George Eliot’s final novel, Daniel Deronda (1876), is arguably her finest achievement. Deftly combining the plot of Gwendolen Harleth’s provincial English life with the Jewish plot involving Deronda’s hidden identity, Eliot’s fiction advances in new directions. After studying Jewish history and philosophy for a number of years, Eliot turned to “the other” in her writing, reaching out to a Jewish minority in the Diaspora, which was trying to finds its place in modern European society. Her multiple portraits of Jews across Europe are realistic and idealistic, extending back to the past and projecting to the future. Challenging Victorian taboos, Eliot’s novel is both proto-Zionist and proto-Freudian. Exposing her nineteenth-century readers to a variety of Jewish characters, she paves the way for twentieth-century writers to explore further the nuances of Jews and Judaism. Her radical and experimental techniques, hidden within traditional prose, continue to resonate in the twenty-first century, with its greater understanding of double plots.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".