Discrimination and social isolation among African Americans: The moderating role of skin tone.
Bibliographic record
Abstract
OBJECTIVES: Discrimination is an urgent public health problem. A number of major cities and counties across the United States has declared racism a public health crisis. While there is a growing body of research on the discrimination-health connection, less is known regarding the social relational consequences of discrimination. The present study addresses this knowledge gap by investigating the relationship between discrimination, skin tone, and objective and subjective social isolation using a nationally representative sample of African Americans. METHOD: This analysis was based upon the African American subsample (N = 3,570) of the National Survey of American Life. Discrimination was assessed with the Everyday Discrimination Scale. Objective and subjective isolation differentiated between respondents who were (a) socially isolated from both family and friends, (b) socially isolated from friends only, (c) socially isolated from family only, and (d) not socially isolated. Skin tone was self-reported. Multinomial logistic regression analyses were used to test the study hypotheses. RESULTS: The analyses indicated that more frequent discriminatory experiences were associated with increased risk for subjective and objective social isolation. Skin tone moderated the association between discrimination and subjective isolation; the discrimination-isolation relationship was stronger among participants with darker skin tones. CONCLUSIONS: These findings shed light on African Americans' nuanced experiences with discrimination and colorism. Further, the data demonstrate heterogeneity in the vulnerability to the adverse effects of discrimination within the African American population; the relationship between discrimination and subjective isolation was stratified by skin tone. This underscores the well-documented and persistent racialized social stratification system in the United States (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".