Conference Report: German-American Encounters After World War II and the Holocaust. Conference at the GHI, September 26-28, 2002
Bibliographic record
Abstract
Conference at the German Historical Institute, September 26–28, 2002. Conveners: Alexander Freund (GHI/AICGS/University of Winnipeg), Atina Grossmann (Cooper Union), Raimund Lammersdorf (GHI), Annette Puckhaber (GHI). Participants: Keith Allen (Corcoran College of Art and Design), Tobias Brinkmann (Simon-Dubnow-Institut für Jüdische Geschichte und Kultur, Leipzig), Gerhard Fürmetz (Bayerisches Hauptstaatsarchiv, Munich), Laura J. Hilton (Muskingum College, New Concord, OH), Robert Gerald Livingston (GHI), Jeffrey M. Peck (AICGS/Canadian Centre for German and European Studies, Toronto), Johannes Platz (University of Trier), Steven Paul Remy (Brooklyn College—CUNY), Nils H. Roemer (University of Southampton), Timothy L. Schroer (George Mason University), Michael Schüring (Max-Planck-Gesellschaft zur Fo¨rderung der Wissenschaften e.V., Berlin). Additional Participants: Kai Behrens (GHI), Caroline Galm (GHI), Janel B. Galvanek (GHI), Anna Held (GHI), Jeffrey Herf (University of Maryland), Dirk Schumann (GHI), Christoph Strupp (GHI), Birgit Zischke (World Bank, Washington, DC).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".