Is a Summer School Programme a Promising Intervention in Preparation for Transition from Primary to Secondary School?
Bibliographic record
Abstract
In England, some children have not reached what are considered to be expected levels in literacy and maths by the time they move from primary to secondary school. This is more likely for children living in disadvantaged areas. One proposal to address this is the provision of summer holiday schools for potentially disadvantaged pupils who are reaching the end of their primary schooling. Future Foundations ran a pilot summer school in 2012. This 4-week programme was intended to reduce summer learning loss, develop children’s skills and confidence and perhaps increase parental engagement in their children’s learning as they prepare for school transition. The programme provided targeted small-group academic tuition focusing on literacy and numeracy, using a scheme of work written by external experts in consultation with local schools, and a diverse programme of enrichment activities. The children involved were at Years 5 and 6 in the summer of 2012 (Years 6 and 7 in autumn of 2012). This pilot has been successful in demonstrating that the concept is feasible, with some suggested improvements, but it has not yet demonstrated that summer schools are effective in improving the educational outcomes of disadvantaged children.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".