Bibliographic record
Abstract
The Jewish motif plays a major role in Joseph Roth’s works. In The Leviathan, a strange and complex novella written during his Parisian exile and the last years of his life, the author returns to the theme of the Ostjuden: the plot is set in a Jewish-Russian townlet (shtetl). The “hero”, Nissen Piczenik, is a coral merchant. A very interesting osmosis occurs between the man and his corals. In his eyes they are living animals which, put around the necks of peasant women, instil life, beauty and love. Through folkloristic or midrashic motives – the coral’s apotropaic power or the sea monster that watches the oceans until the coming of the Messiah – and through alchemy – water and fire – Joseph Roth leads the reader into a man’s inner world in which he is stuck. Comes the day when, like the corals fished in cold or warm waters and brought to the mainland, an “oceanic feeling” wells up within him and awakes his desire to know their world. A sailor takes him onto his battleship, and from then on, he lives between two worlds, the world of delusion and the world of reality: he lets himself be seduced by the false coral his concurrent offers him and mixes it with the real one. He replaces, thanks to drunkenness, the mainland by the rough sea, until he decides to burn the false coral and to keep only the real one that comes from the water. Then he leaves for Canada and embarks on the “Phenix”. The ship casts away and Nissen lets himself sink into the abyss of the ocean, a coral amongst corals.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 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".