American Grandparents Providing Extensive Child Care to Their Grandchildren
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
PURPOSE: This study sought to determine the prevalence and profile of grandparents providing extensive care for a grandchild (grandparents who provide 30+ hours per week or 90+ nights per year of child care, yet are not the primary caregiver of the grandchild). DESIGN AND METHODS: Secondary analysis of the 3,260 grandparent respondents in the 1992-94 National Survey of Families and Households (NSFH). Extensively caregiving grandparents were compared with custodial grandparents (those with primary responsibility for raising a grandchild for 6+ months), noncaregivers, occasional caregivers (<10 hours per week), and intermediate caregivers using chi-square tests, one-way analysis of variance tests, and logistic regression analyses. RESULTS: Close to 7% of all grandparents provided extensive caregiving, as did 14.9% of those who had provided any grandchild care in the last month. Extensive caregivers most closely resembled custodial caregivers and had least in common with those grandparents who never provided child care. IMPLICATIONS: Areas for future research, policy, and practice are highlighted, including the potential impact of welfare reform legislation on extensively caregiving grandparents.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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