Constructing Black selves Caribbean American narratives and the second generation
Bibliographic record
Abstract
In 1965, the Hart-Cellar Immigration Reform Act ushered in a huge wave of immigrants from across the Caribbean-Jamaicans, Cubans, Haitians, and Dominicans, among others. How have these immigrants and their children negotiated languages of race and ethnicity in American social and cultural politics? As black immigrants, to which America do they assimilate?Constructing Black Selves explores the cultural production of second-generation Caribbean immigrants in the United States after World War II as a prism for understanding the formation of Caribbean American identity. Lisa D. McGill pays particular attention to music, literature, and film, centering her study around the figures of singer-actor Harry Belafonte, writers Paule Marshall, Audre Lorde, and Piri Thomas, and meringue-hip-hop group Proyecto Uno.Illuminating the ways in which Caribbean identity has been transformed by mass migration to urban landscapes, as well as the dynamic and sometimes conflicted relationship between Caribbean American and African American cultural politics, Constructing Black Selves is an important contribution to studies of twentieth century U.S. immigration, African American and Afro-Caribbean history and literature, and theories of ethnicity and race
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.026 | 0.025 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".