LGBT African-American Individuals and African-American Same-Sex Couples
Bibliographic record
Abstract
An estimated 1,018,700 or 3.7 percent of African-American adults consider themselves lesbian, gay, bisexual or transgender (LGBT) and 34 percent of African-American same-sex couples are raising children. Currently, the estimated 84,000 African-American individuals in same-sex couples tend to live in areas where there are higher proportions of African-Americans. For example, a quarter of African-American same-sex couples live in Georgia, New York, North Carolina, and Maryland.The report finds overall higher unemployment rates (15 percent v. 12 percent) and lower proportions with a college degree (23 percent v. 26 percent) among LGBT African-Americans, when compared to their non-LGBT counterparts. However, these disadvantages are not present among African-Americans in same-sex couples. Twenty-five percent of African-Americans in same-sex couples have completed a college degree, compared to 22 percent of African-Americans in different-sex couples. In addition, 71 percent of African-Americans in same-sex couples are employed compared to 68 percent of their counterparts in different-sex couples. LGBT African-Americans are also less likely than their non-LGBT counterparts to have health insurance.African-American same-sex couples raising children, report household median incomes $15,000 lower than comparable African-American different-sex couples ($47,300 vs. $63,020). Female African-American same-sex couples, which comprise 58 percent of all African-American same-sex couples, earn over $20,000 less than male African-American same-sex couples. LGBT African-American females and African-American females in same-sex couples are three times more likely to report military service than their non-LGBT counterparts.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".