Intervention Research in Psychosis: Issues Related to the Assessment of Quality of Life
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
Quality of life has emerged as the ideal of modern medicine viewed from a biopsychosocial perspective. The concept has been increasingly used as an important attribute in patient care and clinical studies as well as the basis in many health economic evaluations. Although the concept has been extensively applied in a number of other medical fields such as oncology, cardiovascular, and arthritis, it is only recently that quality of life has received serious attention in the study of severe psychiatric disorders. For the concept to be meaningfully applied in the study of these disorders, several basic and methodological issues have to be adequately resolved. Five such issues are identified: definition of quality of life, the subjective/objective dichotomy, significant determinants of quality of life, how quality of life is measured, and the role of quality of life in clinical management and health economics. Unless these issues are adequately clarified and resolved, the recent heightened interest in the concept of quality of life may fade away, and that would be a missed opportunity in the mental health field.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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