Reshaping an enduring sense of self: the process of recovery from a first episode of schizophrenia
Bibliographic record
Abstract
AIM: Although advances in the treatment of schizophrenia have been made, little is known about the process of recovery from first episode of schizophrenia (FES). To date, the study of recovery in the field of mental health has focused on long-term mental illness. This qualitative study addresses ways in which individuals with FES describe their process of recovery and how identified individuals (e.g. family members) describe their perceptions of and roles in the participant's process of recovery. METHODS: Charmaz's constructivist grounded theory methodology was used to interview 10 young adults twice who self-identified as recovering from FES. In addition, 10 individuals were identified who had influenced their recovery and were interviewed once, for a total of 30 interviews. Data collection sources included in-depth semi-structured interviews. Data analysis methods were consistent with Charmaz's methodology and included coding, and constant comparison of data. RESULTS: The results provide a substantive theory of the process of recovery from FES that is comprised of the following phases: 'Who they were prior to the illness', 'Lives interrupted: Encountering the illness', 'Engaging in services and supports', 'Re-engaging in life', 'Envisioning the future'; and the core category, 'Re-shaping an enduring sense of self', that occurred throughout all phases. A prominent feature of this model is that participants' enduring sense of self were reshaped rather than reconstructed throughout their recovery. CONCLUSIONS: This model of recovery from FES is unique, and as such, provides implications for clinical care, research and policy development for these young adults and their families.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".