Family quality of life: adult school children with intellectual disabilities in Bosnia and Herzegovina
Bibliographic record
Abstract
AIMS: This study endeavours to provide initial data on quality of life for families with adult children who have intellectual disabilities (ID) in the Canton of Sarajevo. METHODS: The principal measure used was the Family Quality of life Survey 2006 - main caregivers of people with intellectual or developmental disabilities. The sample consisted of the main caregivers of 35 families with adult school children with ID who attended classes in a specially adapted programme in the Center of Vladimir Nazor and in the Vocational Secondary School in Sarajevo. Of the 35 participants, 21 were male and 14 female. Students with disabilities ranged from 19 to 32 years old (mean 21.45). RESULTS: Consistent with previous research, the nine domains measured by the scale were all rated high for Importance. Opportunities were considered to be particularly low for Financial Well-Being and Support from Others. These domains were also rated lowest for Attainment and Satisfaction. Initiative was relatively high across all domains, and Stability (the degree to which things were seen as likely to improve or decline) varied slightly across domains but the means indicated that things are expected to stay almost the same or improve slightly. CONCLUSIONS: This research provides initial data for family quality of life in Bosnia and Herzegovina. It also provides suggestions for improving quality of life for families that have one or more members with ID. The results should also contribute to rejecting stereotypes and promoting inclusion of children with ID as well as the rights of their families.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".