Kindergarten school readiness and fourth‐grade literacy and numeracy outcomes of children with special needs: a population‐based study
Bibliographic record
Abstract
In British Columbia, Canada, two population‐based databases have been linked at the level of the individual child: the Early Development Instrument, a Kindergarten school readiness measure; and the Foundation Skills Assessment, a Grade Four academic assessment. Utilising these linked data, we explored the early school readiness, literacy, and numeracy outcomes of a province‐wide study population of children with special needs (N = 3677) followed longitudinally from Kindergarten to Grade Four. In particular, we explored the categories of special needs among our study population. In addition, we investigated the Kindergarten school readiness and Grade Four literacy and numeracy outcomes of children with special needs. We also explored the Grade Four literacy and numeracy outcomes of children with special needs who were ‘not school ready’ at Kindergarten. Finally, we identified the categories of special needs of children who participated in the Kindergarten data collection, but were missing literacy and numeracy scores at Grade Four. Future directions 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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| 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".