Families Journeying Together: Exploring Resilience in Families with Adolescents with ADHD
Bibliographic record
Abstract
There is increasing attention given to the ways that children and adolescents with ADHD experience resilience and factors that help them to thrive. Research in this area is particularly needed for the relatively understudied group, emerging adolescents, who are experiencing a key transitional stage of life and are at risk for developing significant comorbidities. The purpose of this study was to explore the experience of resilience among emerging adolescents and their families. Using a qualitative, constructivist grounded theory approach, 21 interviews were conducted with parents and primary caregivers of emerging adolescents with ADHD, adolescents with ADHD and supportive professionals who work directly with this population. Participants were from three Canadian cities. A resilience-promoting process emerged of Families Journeying Together. It comprised three parts of experiencing constant challenge, building family consciousness, and moving forward. The findings underlined the key role that parents play in the lives of emerging adolescents with ADHD, and the need to include a family systems perspective when exploring resilience in ADHD. Participants affirmed the relevance of an ecological approach to understanding and supporting resilience for emerging adolescents with ADHD and their families. Findings suggest future research and policy/program development that focuses upon ecological factors to nurture resilience and well-being.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".