István Deák and Hungarian History: Remembering the Life and Career of a Giant in the Field
Bibliographic record
Abstract
István Deák, a longtime professor of history at Columbia University, passed away in January of 2023 at the age of 96. Subsequently, this year has seen many memorials to the man, and this roundtable as well as the primary source that follows are the Hungarian Studies Review’s humble attempts to remember his impact on our field.István Deák’s influence goes well beyond Hungarian studies. Historians of the Habsburg Empire, Central and Eastern Europe, and even modern Europe as a whole all claim him as their own. Columbia University, Austrian History Yearbook, the Journal of Austrian-American History, the American Historical Association, the Robert Jervis International Security Studies Forum, and the Institute of Political History in Hungary have all paid tribute to him in one way or another. For this roundtable, we focused on the country of his birth and asked his colleagues and students in Hungarian studies to reflect on the ways in which István Deák’s scholarship and mentoring informed their own work and careers. We made a particular effort to include Hungarian scholars who knew him during different stages of his life. They bring a unique perspective that illuminates the transnational nature of István Deák’s impact and the strong connection to Hungary he maintained over the years.What emerges from the following essays is a portrait of a man known for his profound generosity, both intellectual and material. Hosting friends at his New York City apartment, helping colleagues advance their careers through visiting professorships, discussing the history of Hungary in fine detail with his students, and fiercely advocating for scholarly collaboration between academics based in Hungary and North America are just some of the ways in which he is remembered by the authors who contributed to this roundtable.Hungarian studies owes a great deal to István Deák by way of his scholarship, his mentoring, and his own role in shaping Hungarian history. The editors at HSR wish to thank all the contributors for sharing their memories with our readers.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".