Jüdische und arabische Erinnerungen im Dialog
Bibliographic record
Abstract
The Jewish-Canadian and Arab-American writers and professors of literature George Ellenbogen (*1934) and Evelyn Shakir (1938–2010) were life companions. In both their memoirs, the authors tell stories of neighborhood, enriching encounters and their search for roots. George grows up in the Jewish immigrant quarter of Montreal, goes to McGill University, and later travels to the places of his ancestors, the destroyed world of the shtetl. In her Boston childhood, Evelyn is perceived as an Arab who does not entirely belong. As visiting professor in Arab countries, however, her students see her as an American. The memoirs, three related articles, and an interview with George Ellenbogen raise basic questions of belonging and otherness, cultural location and the pursuit of mutual understanding and respect. The volume also appeals to teachers who want to turn their lessons into contact zones in which different cultures and perspectives collide and enter into mutual dialogue. With contributions by George Ellenbogen; Pascal Fischer, Christoph Houswitschka; Sally Michael Hanna; John Kinsella; Margueritte Murphy; Evelyn Shakir (†); Brigitte Wallinger-Schorn
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".