Attitudes of direct support professionals and management staff towards intellectual disability in specialised services
Bibliographic record
Abstract
BACKGROUND: Attitudes towards intellectual disability play an important role in the social inclusion and well-being of persons with intellectual disability. Few studies have examined attitudes of staff working in the specialised service industry, which may have an even greater impact. This study aimed to better understand these attitudes. METHODS: A sample of 157 direct support professionals and 38 managers working with persons with intellectual disability completed the Attitudes Toward Intellectual Disability Questionnaire (ATTID; Morin, Rivard, et al. (2013). Journal of Intellectual Disability Research, 57, 279-292). Attitudes were assessed along affective, cognitive, and behavioural dimensions. RESULTS: Results revealed generally positive attitudes in both groups, but more paternalistic attitudes among managers and less positive attitudes in the general population. Positive attitudes were associated with level of education, frequency and quality of contact, and knowledge about intellectual disabilities. CONCLUSION: Workplace training programs addressing the aetiology of intellectual disability and interventions promoting self-determination may help enhance staff attitudes towards intellectual disability.
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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 | 0.008 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".