Facilitating virtual social connections for youth with disabilities: lessons for post-COVID-19 programming
Bibliographic record
Abstract
PURPOSE: Social connections are essential for the development of life skills for youth. Youth with disabilities have long faced barriers to meaningful social connections. The onset of COVID-19 increased barriers to social connections for all youth, and also led to enhanced use of virtual platforms in paediatric rehabilitation programming. Harnessing this opportunity, service providers created a suite of online programs to foster social connections and friendships. The current study explores participant and service provider experiences of such programs. METHODS: = 13) involved in program development and delivery experienced the programs, the accessibility of the virtual platforms, and their social connections in relation to program participation. RESULTS: Participants were satisfied with the programs' content, accessibility and ability to meet their social needs. Qualitative themes included facilitating social connections, accessibility of virtual spaces, and recommendations for future virtual programming. DISCUSSION: For youth with disabilities who have been historically marginalized in social spheres, the newly ubiquitous infrastructure regarding virtual programming must be supported and enhanced. A hybrid approach involving virtual/in-person options in future programming is recommended.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".