Children’s engagement in Quebec childcare centres: progression from 3 to 5 years old and predictor variables
Bibliographic record
Abstract
This study examined the longitudinal evolution of 3 to 5 year old children's level of engagement in Quebec's early childcare centres. A latent transition analysis was conducted on child engagement measured by the inCLASS. Results revealed three engagement profiles at ages 3 and 5: 1) low engagement profile; 2) low- medium engagement profile; 3) medium engagement profile, suggesting a generally positive but low engagement. The study also identified that over 80% of children, regardless of profile at age 3, transition to the medium engagement profile by age 5. Various predictor variables were explored to explain this transition with socioeconomic context of the child's family at age 5 found to be the sole predictive variable, suggesting a strong impact of family context on children’s engagement. This suggests that engagement is a distinct construct from the wider educational quality concept, modulated by child-specific characteristics. Implications for research and educational practice are discussed.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".