What Accounts for Race and Ethnic Differences in Parental Financial Transfers to Adult Children in the United States?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Financial assistance that parents give to their young adult children is part of the bundle of flows that constitutes intergenerational support. Are there racial and ethnic differences in this financial assistance, and if so, why? Wave 2 data from the Health and Retirement Study ( N = 17,996) suggest group differences in both the incidence and amount of annual support given to nonresident adult children. Structural inequalities in the form of economic resources, family structure, and health account for most group differences, a finding counter to recent research emphasizing culture and behavioral practices. Economic resources most strongly account for less giving in African American families than in other groups. For Latinos, income and parental education are most vital. Parental health and family size are also important predictors of group differences. African American and Latino families help compensate for the differences in financial transfers with coresidence, extended family exchange, and proximity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it