An evidence-based approach to creating a culture of inclusive opportunity through arts and creativity
Bibliographic record
Abstract
The final report in a twelve-part series campaigning for a country that works for all children and young people. #ChildrenFirstProduced jointly by Child of the North and the Centre for Young Lives, the twelfth and final report in the Child of the North 2024/25 campaign series warns the talents of millions of children are being ignored and wasted, and calls for creativity to be embedded into an inclusive school curriculum supporting all children – including those with SEND – to develop a new generation of creatives to boost economic growth.First published in March 2025, An evidence-based approach to creating a culture of inclusive opportunity through arts and creativity, calls for the Government’s Opportunity Mission to boost culture, creativity, and arts in schools to inspire children, improve mental health, strengthen school belonging, tackle the school attendance and attainment crises, and support children from the most disadvantaged backgrounds to build careers in the creative industries.
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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 | 0.184 | 0.243 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.013 | 0.006 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.006 | 0.010 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".