Bibliographic record
Abstract
Part 1 The Problem Chapter 2 The Beginning: Abe Lincoln in India and a Pair of Hungarians in Ottawa Chapter 3 Democracy and Its Downside Chapter 4 The Invention of Race and Ethnicity and Its Many Consequences Chapter 5 Identities: Ethnic and Otherwise Chapter 6 Ethnic Renewal: Italian-Americans, Bosnian Muslims, and Native Americans Chapter 7 Reporters for the Daily Press: A Woldwide Network of Research Assistants Part 8 Toward Solutions: From Time to Time and Place to Place Chapter 9 Backdrop and Precursors Chapter 10 The Enclave Solution in Switzerland and Ghana Chapter 11 The Immigrant Solution in Sweden, Canada, and Australia Chapter 12 Sojourner Finns, Israelis, and Greeks and Also the Unfashionable Solution of Partition (India, No! Czechoslovakia, Yes!) Chapter 13 Leave Vengeance to the Lord: One Tough But Grand Solution Part 14 Over the Horizon Chapter 15 Beyond National Policies Chapter 16 Assimilation and Pluralism: An Outmoded Distinction? Chapter 17 The End: Values, Politics, and Assimilation
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 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".