Bibliographic record
Abstract
Remapping the World After the Crisis in Area Studies Peter Rutland (bio) Beyond the Area Studies Wars: Toward a New International Studies. Ed. Neil Waters. Hanover, VT: Middlebury College Press, 2000. Peter Rutland Wesleyan University Peter Rutland Peter Rutland is Professor of Government at Wesleyan University in Middletown, Connecticut, where he teaches Comparative Politics and Political Economy. He is also an Associate of the Davis Center for Russian Studies at Harvard University. Rutland is the author of three books and the co-editor of three others, as well as author of some fifty articles and book chapters. His most recent work includes Business and the State in Contemporary Russia (Westview Press, 2000) and such articles as "Putin's Path to Power" (Post-Soviet Affairs, 2000); "Paradigms for Russian Policy in the Caspian Region," in Energy and Conflict in Central Asia and the Caucasus, edited by Robert Ebel and Rajan Menon (Rowman and Littlefield, 2000); and "Mission Impossible? The IMF and the Failure of the Market Transition in Russia" (Review of International Studies, 1999). Works Cited Anderson, Benedict. The Spectre of Comparisons: Nationalism, Southeast Asia, and the World. London: Verso, 1998. Google Scholar Schemo, Diane. "Use of English as World Tongue Is Booming." New York Times 16 Apr. 2001: A1. Google Scholar Copyright © 2001 University of Toronto Press, Inc.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.019 | 0.030 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.005 | 0.007 |
| 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".