Emirati Student Attitudes Toward People with Intellectual Disabilities
Bibliographic record
Abstract
Exploring attitudes towards people with intellectual disabilities may provide understanding on the acceptance of people with intellectual disabilities. While these attitudes have been explored globally, the United Arab Emirates is one context in which the attitudinal literature is limited. This study explored Emirati student attitudes toward people with intellectual disabilities with the Community Living Attitudes Scale – Intellectual Disability (CLAS-ID). Principle Components Analysis indicated that the CLAS-ID’s four factor structure did not fit our sample. Instead, a three-factor model fit best, which includes Empowerment, Inclusion and Assistance. Having an extended family member with a disability predicted endorsement for Empowerment and Inclusion and less endorsement for Assistance. Higher economic status also predicted more endorsement of Empowerment and Inclusion; females had higher endorsement of Inclusion attitudes. Some of our findings reflect those found in other countries but further research is needed to better understand attitudes important to the Emirati cultural milieu.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".