Transition to Adulthood for Individuals With Complex Communication Needs: A Scoping Review
Bibliographic record
Abstract
Transitioning to adulthood is a complex and challenging process for youth with complex communication needs (CCN) and/or who use augmentative and alternative communication (AAC). This scoping review examined and consolidated available evidence documenting transition barriers and facilitators. Eight databases were searched systematically using complex communications needs/augmentative and alternative communication, transition programs, and adulthood as key terms. Participants aged 14–35 years and interventions focused on transition to occupations, including education, employment, leisure pursuits, or socializing/relationships. The search yielded 3459 records, which were screened by three independent raters. Twenty-three articles met the inclusion criteria. Studies focused primarily on employment ( n =18), postsecondary education ( n = 10), and socializing/relationships ( n = 13). Programs experience and outcomes varied. Enabling factors included organizations, transition-focused programs, and social networks. Barriers included low expectations, lack of programs/supports, and limited literacy skills. Future studies must include richer descriptions of programs/services and participants, while more work is required to explore long-term outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".