Bibliographic record
Abstract
Proceedings of the Brandeis conference on Jewish Germanists who fled Nazi Germany and their impact on Anglo-American German studies. Among the Jewish academics and intellectuals expelled from Germany and Austria during the Nazi era were many specialists in German literature. Strangely, their impact on the practice of Germanistik in the United States, England, and Canada has been given little attention. Who were they? Did their vision of German literature and culture differ significantly from that of those who remained in their former homeland? What problems did they face in theAmerican and British academic settings? Above all, how did they help shape German studies in the postwar era? This unique and important symposium, which convened at Brandeis University under the auspices of its Center for Germanand European Studies, addresses these and many other questions. Among its distinguished participants--who numbered over thirty in all--are Peter Demetz (Yale, emeritus), Gesa Dane (Göttingen), Amir Eshel (Stanford), Willi Goetschel (Toronto), Barbara Hahn (Princeton), Susanne Klingenstein (MIT), Christoph König (Deutsches Literaturarchiv, Marbach), Ritchie Robertson (Oxford), Egon Schwarz (Washington University St. Louis, emeritus), Hinrich Seeba (UC Berkeley), Walter Sokel (University of Virginia, emeritus), Frank Trommler (University of Pennsylvania), and many more. The volume includes not only the (revised) essays of the participants but also their prepared responses, transcripts of the panel discussion, and dialogue of the participants with members of the audience. Stephen D. Dowden is professor of German at Brandeis University; Meike G. Werner is assistant professor of German at Vanderbilt University.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".