Preventing Ethnic Conflict: Successful Cross-National Strategies
Bibliographic record
Abstract
Chapter 1 Introduction Part 2 The Problem Chapter 3 Student and Teacher's Introduction to Part One Chapter 4 The Beginning: Abe Lincoln in India and a Pair of Hungarians in Ottawa Chapter 5 Democracy and Its Downside Chapter 6 The Invention of Race and Ethnicity and Its Many Consequences Chapter 7 Identities: Ethnic and Otherwise Chapter 8 Ethnic Renewal: Italian Americans, Bosnian Muslims, and Native Americans Chapter 9 Reports for the Daily Press: a Worldwide Network of Research Assistants Part 10 Toward Solutions: From Time to Time and Place to Place Chapter 11 Student and Teacher's Introduction to Part Two Chapter 12 Backdrop and Precursors Chapter 13 The Enclave Solution in Switzerland and Ghana Chapter 14 The Immigrant Solution in Sweden, Canada, and Australia Chapter 15 Sojourner Finns, Israelis, and Greeks and Also the Unfashionable Solution of Partition (India, No! Czechoslovakia, Yes!) Chapter 16 Leave Vengeance to the Lord: One Tough but Grand Solution Part 17 Over the Horizon Chapter 18 Student and Teacher's Introduction to Part Three Chapter 19 Beyond National Policies Chapter 20 Assimilation and Pluralism: An Outmoded Distinction? Chapter 21 The End: Values, Politics, and Assimilation
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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 | 0.002 | 0.001 |
| 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 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".