Enhancing social participation in young people with communication disabilities living in rural Australia: outcomes of a home-based intervention for using social media
Bibliographic record
Abstract
PURPOSE: The purpose of this study is to investigate the effectiveness of a home-based intervention using social media to enhance social networks of young people with disabilities and communication difficulties. METHOD: Eight young people (M(age) = 15.4 years) with communication disabilities participated from two rural Australian towns. The intervention provided assistive technology and training to learn social media use. A mixed-method design combined pre- and post-assessments measuring changes in performance, satisfaction with performance, attainment on social media goals, and social network extension, and interviews investigated the way in which the intervention influenced social participation. RESULTS: Participants showed an increase in performance, and satisfaction with performance, on the Canadian Occupational Performance Measure; paired t-tests showed statistical significance at p <0.01. Wilcoxon Signed Ranks revealed a significant increase in the number of online communication partners, p <0.05. The interviews highlighted participants' and parents' perceptions of increased social connections, improved communication frequency and nature, and speech intelligibility and literacy as a result of the intervention. CONCLUSIONS: The findings suggest that learning to use social media leads to increase in social participation among rural-based young people with communication disabilities. In order to benefit from advantages of learning to use social media in rural areas, parents and service providers need knowledge and skills to integrate assistive technology with the Internet needs of this group.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".