Stimulating inclusive outdoor play: breaking the vicious circle between physical segregation and lack of social acceptance
Bibliographic record
Abstract
Inclusive play is a critical catalyst for social inclusion and has developmental benefits for all children. This research explores barriers that adult stakeholders perceive towards inclusion of children with disabilities in ‘playing together’ with peers with and without disabilities. Insights were gathered through four focus groups (n = 37) involving young adults with a disability, parents of children with and without disabilities, healthcare and welfare professionals, and government organizations. Key barriers identified include the segregation of daily activities of children with and without disabilities, and a lack of social acceptance, both limiting opportunities for inclusive play. Participants proposed a number of solutions, mainly focused on connecting children with and without disabilities, promoting positive attitudes, and optimizing collaboration between different stakeholders. Building local networks of healthcare and welfare professionals, municipal actors, parents, and children is crucial to creating inclusive play opportunities that benefit all 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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.014 |
| 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".