Measurement of Community Participation and Use of Leisure by Service Users with Intellectual Disabilities: the Guernsey Community Participation and Leisure Assessment (GCPLA)
Bibliographic record
Abstract
Abstract Community integration is now an important principle guiding service provision for people with intellectual disabilities. However, it has been argued that research has contributed little in the way of guidance and that this is mainly because of the lack of appropriate measures. The Guernsey Community Participation and Leisure Assessment (GCPLA) is described in the present paper. The GCPLA is a comprehensive assessment of community participation and the use of leisure that produces both quantitative and qualitative data. Data are presented which suggest that the instrument is potentially both valid and reliable. A study comparing use of their community by service users and a staff control group showed that the service users had a smaller range of activities, were less busy (i.e. took part in fewer frequent activities), and were more likely to access their communities in the presence of staff or carers, rather than alone or with friends. Suggestions for the use of the GCPLA are discussed including individual planning, service evaluation and training.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".