A School-Based Intervention Addressing Peer Perceptions of Disabilities
Bibliographic record
Abstract
The Individuals with Disabilities Education Act (IDEA), enacted in 1975, mandates a free and public education for children with disabilities. Yet, research shows that children with disabilities still do not always feel accepted in the public school system, and there are many improvements needed for an inclusive environment to be fully realized. Better awareness of peers with disabilities in the school system allows for a positive classroom environment and learning experience for all children. Increased awareness provides the possibility of school systems to modify their curriculum to better suit individuals with disabilities. Disability awareness interventions can improve children’s knowledge about peers with disabilities and can be approached in many ways. The purpose of this study was to measure student attitudes and perceptions of individuals with disabilities in a primary school setting in rural Virginia. Results from the study indicated a positive change in the perceptions and attitudes of participants after administration of the Whitehorse Disability Kit lessons over the course of four weeks. This study supports previous similar research as the attitudes and perceptions of children with disabilities increased after implementing four weeks of lesson plans. This study demonstrates the positive impact of incorporating disability awareness programs in the school system.
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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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".