The therapeutic power of play: examining the play of young children with leukaemia
Bibliographic record
Abstract
BACKGROUND: The therapeutic function of play has been investigated in relation to recognized stressors such as hospitalization, illness and medical treatments for ill children. While medical treatments in the past 30 years have improved survival rates, children's psychological experiences and quality of life during and after their illness have received limited attention. OBJECTIVE: The present study investigated the therapeutic effects of play on 3- to 5-year-old children with leukaemia compared with a control group of healthy children. METHOD: The participants with leukaemia (n = 11) were from the external oncology clinic of an urban children's hospital; control children (n = 11) attended a day care centre. Measures included children's experience of stress, social and cognitive play behaviours, and daily mood. RESULTS: A series of manova revealed that the children with leukaemia, compared with the control children, engaged in (a) significantly fewer total play behaviours, and in particular less (b) parallel, (c) group and (d) dramatic play. Pearson correlations revealed significant relationships between reports of 'being happy' and play only for children with leukaemia. Quantitative and qualitative analyses revealed a pattern of repetitive play activities week after week for children with leukaemia, but not controls. DISCUSSION: Findings are discussed in light of the theoretical and practical implications for children undergoing treatment for leukaemia.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".