The Influence of European Emigre Scholars on Comparative
Bibliographic record
Abstract
Among European émigre ́ intellectuals who came to the United States between 1925 and 1940,a small group of prolific, influential scholars who received appointments at major collegesand universities helped to restore the comparative approach to the study of political systems. That approach had been dominant in the early years of the discipline but had been lost during its Americanization in the first quarter of the twentieth century. The teaching and writing of these scholars contributed to the formulation of theoretical frameworks designed to facilitate cross-national comparison. When the purview of comparative politics expanded in the 1950s and 1960s to include the developing areas, the advantages of multination comparisons became even more evident. Political science developed as a research disci-pline in the United States under the influence ofGerman universities in the quarter century be-fore the establishment of the American Political Sci-ence Association in 1903. The outstanding reputation of the institutions of higher education in Germany at-tracted Americans interested in the study of history and government. Both the scope and the methods of what was called Staatswissenschaft in Germany shaped the curriculum of the first political science departments in the United States. The substantive emphasis was on public law and political theory, and the object of studywas the establishment of causal relations through comparative analysis. John W. Burgess, the founder of the School of Political Science at Columbia, wrote that the distinction of his book, which he entitled Political
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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 | 0.033 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.028 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".