Changes in Parental Assets and Children's Educational Outcomes
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
Abstract Several countries, including Canada, Singapore and the United Kingdom, have enacted asset-based policies for children in recent years. The premise underlying these policies is that increases in assets lead to improvement in various child outcomes over time. But little existing research examines this premise from a dynamic perspective. Using data from the NLSY79 mother and child datasets, two parallel process latent growth curve models are estimated to examine the effects of parental asset accumulation on changes in children's achievements over six years during middle childhood. Results indicate that the initial level of assets is positively associated with math scores, but not reading scores, while faster asset accumulation is associated with changes in reading scores, but not in math scores. Overall, the results suggest that the relationship between assets and various child outcomes may not be straight-forward. Different dimensions of the asset experience may lead to different outcomes, and the same dimension may also have different effects. Implications for future research and for asset-based policies are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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