Predictors of Parent Involvement across Contexts in Asian American and European American Families
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 study examines the predictors of parent involvement in 537 Asian American and 12,630 European American parents. Data came from the nationally representative Early Childhood Longitudinal Study - Kindergarten Cohort (ECLS-K), an ongoing study of kindergarten children as they make the transition into and through formal schooling. We used Structural Equation Models (SEM) to examine (1) the influence of parents’ beliefs, expectations, and educational attainment on multiple aspects of parent involvement, and (2) the relationship among multiple aspects of parent involvement across contexts in families of kindergarten children. Results indicated that although Asian American and European American parents may become involved in different ways, the predictors of and relations among different types of parent involvement across contexts are similar.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| 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