American Indian/Alaskan Native Grandparents Raising Grandchildren: Findings from the Census 2000 Supplementary Survey
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
This article documents the prevalence and national profile of American Indian/Alaskan Native (AI/AN) grandparents who are raising their grandchildren, based on data from the American Community Survey/Census 2000 Supplementary Survey. In 2000 there were estimated to be nearly 53,000 AI/AN grandparent caregivers age 45 and older in the United States. Almost half of the caregiving grandparents had been raising a grandchild for five years or longer. The findings reveal a portrait of grandparents committed to raising their grandchildren despite the fact that many were living in extreme poverty, with ill health, and with limited resources and services. One-third of grandparent caregivers were living below the poverty line, and only one-quarter of these were receiving public assistance. Even when compared with their noncaregiving AI/AN peers, grandparents raising grandchildren were disproportionately female, poor, living with a functional disability, and living in overcrowded conditions. Implications for social work practice are presented and recommendations for policy and research are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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