Bibliographic record
Abstract
Leo Pinsker’s famous 1882 essay promoting Zionism entitled ‘Auto-Emancipation’ identifies the key elements of the present study — national identity and belonging, the principal trope of the undying and uncanny Wandering Jew spectre who haunts European nations, and the Jewish Question, which Michael Ragussis rightly characterizes as plural and incorporating ‘a variety of Jewish questions (religious, legal, racial, and so on)’ (‘Secret’: 298). With the Enlightenment era genre of British Gothic fiction as its principal domain of focus, this study engages with the related questions of why, in what ways, and with what implications, the legendary Wandering Jew, Ahasuerus, haunts modern Britain in the eighteenth and nineteenth centuries. This infamous, transgressive antichrist, associated with what Edgar Rosenberg has called ‘the Ur-crime of the Crucifixion’ (27), was cursed to immortality until the Millennium for mocking Christ as he carried the cross to Calvary. 1 In that instance, he figuratively assumed the cross as an ambivalent representative of ‘a deicide nation … on whose redemption the fate of mankind’ was said to hang (Fisch: 15). 2 He has since been repeatedly crucified for his Original Sin (Horkheimer and Adorno: 49–50). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".