Bibliographic record
Abstract
Foreigners, Foreignness, and Theories of Democracy Donna Gabaccia (bio) Democracy and the Foreigner. Bonnie Honig. Princeton: Princeton University Press, 2001. Donna Gabaccia Department of History, University of North Carolina, Charlotte Donna Gabaccia Donna Gabaccia is Professor of History at the University of North Carolina-Charlotte but will be moving to the University of Pittsburgh later in 2003. She is the author of five books and of a multidisciplinary annotated bibliography on women's immigration to the US; she has co-edited five other books and published some forty articles and book chapters. Among her books are Immigration and American Diversity (Blackwell, 2002); Italy's Many Diasporas (UCL / U Washington P, 2000); We Are What We Eat: Ethnic Food and the Making of Americans (Harvard UP, 1998); and Militants and Migrants: Rural Sicilians Become American Workers (Rutgers UP, 1988). Copyright © 2003 University of Toronto Press, Inc.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".