Immigration & the Color Line at the Beginning of the 21st Century
Bibliographic record
Abstract
The “color line” has long served as a metaphor for the starkness of black/white relations in the United States. Yet post-1965 increases in U.S. immigration have brought millions whose ethnoracial status seems neither black nor white, boosting ethnoracial diversity and potentially changing the color line. After reviewing past and current conceptualizations of America's racial divide(s), we ask what recent trends in intermarriage and multiracial identification – both indicators of ethnoracial boundary dissolution – reveal about ethnoracial color lines in today's immigrant America. We note that rises in intermarriage and multiracial identification have emerged more strongly among Asians and Latinos than blacks and in more diverse metropolitan areas. Moreover, these tendencies are larger than would be expected based solely on shifts in the relative sizes of ethnoracial groups, suggesting that immigrationgenerated diversity is associated with cultural change that is dissolving ethnoracial barriers – but more so for immigrant groups than blacks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".