Bibliographic record
Abstract
The former Jewish quarter (16th to 20th century) of Nowy Wiśnicz (henceforth: Wiśnicz, Yid. ווישניצא Vischnitsa) has so far only been mentioned on a few occasions and with little precision, in the books by Stanislaw Fischer (1927/28), Mieczyslaw Ksiązek (1976, 1979, 1988, 1990), and Adam Bartosz (1992). The last decades saw a handful of publications regarding this subject. The first one to touch upon it was Iwona Zawidzka, who described the cemetery and gave a brief account of the town’s history. She was followed by Elzbieta Ostrowska, who focused on relations between Christian and Jewish inhabitants of the town from the 17th to the 19th centuries. Adam Bartosz, Stanislaw Fischer, Mieczyslaw Ksiązek and Iwona Zawidzka incorrectly ascribed the lack of any photographic record of both synagogues and the public buildings to having been demolished by Germans during the Nazi occupation. I. Zawidzka1 mentions an essay by Julia Goczalkowska2 in which the author describes what she refers to as the Wiśnicz “Jerusalem.”
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".