Bibliographic record
Abstract
Yiddish-speakers, or Ostjuden (Eastern [European] Jews), who built a visible minority in the-turn-of-the-twentieth-century Berlin, usually migrated to the Kaiserreich capital from the then German territory of Posen (Poznan) as well as from Russian and Austro-Hungarian Poland. In Berlin, they would settle in the proletarian East of the city, most notably in the Scheunenviertel (Barn Quarter), the slum quarter »a few blocks northeast of Alexanderplatz, bounded by Linienstrasse to the north, Oranienburgerstrasse to the west and south and Landsberger Allee to the east.« The Scheunenviertel, however, never became a Jewish ghetto in the true sense of the word, because Ostjuden lived there together with other outsiders twice over – non-German and foreign-born. In addition, absorption of Jewish newcomers usually faced less problems in Berlin than, for example, in Vienna. Although thousands of full-bearded »caftan Jews« and their families never acquired assets for social mobility and stayed put in the Alexanderplatz area, many others would work their way up from the lowest rung on the social ladder and move to more elegant districts, including Charlottenburg, merging there with »real« Western Jews.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".