Bibliographic record
Abstract
Living Recovery provides critical information for practitioners and educators in mental health services about the self-described needs of young people diagnosed with mental illness. It portrays the stages of living with mental illness through the recovery model ELAR—emergence, loss, adaptation, and recovery. The author interviewed youth aged sixteen to twenty-seven in Canada, Australia, and the US, and her book relates the price of the stigma surrounding mental illness, especially for young people who are already challenged with the developmental tasks of adolescence. The text examines the youth-described “social illness” of stigma and the resulting self-marginalization they say is necessary to survive stigma and social isolation. When youth feel isolated, ignored, or shunned, the resulting shame and stress they may feel has the potential to exacerbate such illnesses as obsessive compulsive disorder, psychosis, anxiety, and/or various mood disorders. The findings from this research anticipate and identify interventions that are useful for youth with mental illness. If programs and systems of care take into account youth stories such as those presented here, interventions will become more meaningful and more likely to address problems related to social and emotional distresses. In charting journeys through the emergence of illness, to loss, adaptation, and recovery, the book reports on how mental illness disrupted these youths’ lives on every level, especially in the transition from late adolescence to young adulthood. But youth also describe ways in which they adapted and recovered and how they came to “own the illness” with a greater sense of agency and self-direction.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.279 | 0.141 |
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".