The Associations Between Child-Care Services During the Preschool Years and High School Graduation: A 20-Year Longitudinal Population-Based Study
Bibliographic record
Abstract
OBJECTIVE: Together with family factors, early care and education (ECE) services were shown to improve school readiness in kindergarten. However, it is not clear whether better school readiness at age 6 years translates into higher rates of high school graduation years later. Our objective was therefore to investigate the long-term associations between the use of ECE and high school graduation while considering the sex of the child and the socioeconomic status of the parents as moderators. METHODS: Participants were children from the Quebec Longitudinal Study on Child Development (QLSCD) born in 1997 to 1998 (N = 2001). Intensity and type of ECE exposure were measured from age 5 months to 5 years. Administrative records were used to determine whether students had obtained a high school diploma by age 20 years. Factors explaining differences in the profiles of ECE users were controlled using propensity score weights. RESULTS: Twenty-two percent of students did not have a high school diploma by age 20 years. Compared with children never exposed to center-based care, those exposed early (i.e., before toddlerhood) had better odds of graduating from high school (odds ratio = 1.49) after controlling for confounding factors. Late exposure to center-based care was not related to high school graduation rates. CONCLUSION: Exposure to regulated and center-based ECE on a regular basis from toddlerhood to school entry was associated with higher rates of high school graduation. Regulated center-based ECE at the population level may improve rates of high school graduation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".