Head start participation and school readiness: Evidence from the early childhood longitudinal study–birth cohort.
Bibliographic record
Abstract
Using data from the Early Childhood Longitudinal Study-Birth Cohort (n ≈ 6,950), a nationally representative sample of children born in 2001, we examined school readiness (academic skills and socioemotional well-being) at kindergarten entry for children who attended Head Start compared with those who experienced other types of child care (prekindergarten, other center-based care, other nonparental care, or parental care). Using propensity score matching methods and ordinary least squares regressions with rich controls, we found that Head Start participants had higher early reading and math scores than children in other nonparental care or parental care but also higher levels of conduct problems than those in parental care. Head Start participants had lower early reading scores compared with children in prekindergarten and had no differences in any outcomes compared with children in other center-based care. Head Start benefits were more pronounced for children who had low initial cognitive ability or parents with low levels of education or who attended Head Start for more than 20 hr per week.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".