What's the link: An exploration of recovery and social support for individuals living with a mental illness.
Bibliographic record
Abstract
Recovery from mental illness is a personal journey of transformation and has been found to be a deeply social process ...The intent of this research was to explore the relationship between an individual's recovery journey and social support for people living with a serious and persistent mental illness. Through the use of the Recovery Assessment Scale ...and Medical Outcomes Study: Social Support Survey Instrument ..., 35 participants provided quantitative data (phase one). From the quantitative data, a qualitative interview guide was fine-tuned, which was used for 10 one-on-one interviews (phase two). Demographic information was also gathered on participants from both phases. The qualitative data was analyzed using a thematic analysis, and the following five themes emerged: Work/volunteer opportunities Mental Health Services Peers Connectedness and Stigma. Through conducting this research, it is believed that a better understanding of the connection and relationship between the recovery process and social support was achieved which could begin to inform policy, practice, and future research in community mental health. As well, the beginnings of a definition of social support, from the perspectives of individuals living with a serious and persistent mental illness, was developed and may be helpful to address the present gap in the literature. --P. ii.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".