I do not expect much ikigai from work: A failed link between employment and well-being among adults with serious mental illness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Researchers argue that employment positively affects the well-being of people with serious mental illness. However, empirical studies have provided limited support for these hypotheses. OBJECTIVE: This study aimed to investigate perceptions of employment in relation to the meaning and purpose of life, an important aspect of well-being, among people with serious mental illness. METHOD: Qualitative research design was employed. Psychiatric service users with a history of employment (n = 21) were recruited from Japan. Photo-elicitation interviews were conducted, and the interview data were analyzed using thematic analysis. RESULTS: Employment was recognized as a source of life meaning and purpose when it reflected personal values such as mastery and contribution to society. Employment was not recognized as relevant to life’s meaning and purpose if it was regarded as an instrumental activity for making a living. Nevertheless, participants generally agreed that employment was indispensable because it was essential for fulfilling their basic needs and overcoming the stigma of mental illness. CONCLUSION: Our results demonstrate diverse attitudes toward employment among people with serious mental illness, which may explain why employment had only a small effect on 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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it