Physical activity in the process of psychiatric rehabilitation: Theoretical and methodological issues.
Bibliographic record
Abstract
Physical activity can potentially perform a valuable role within the context of psychiatric rehabilitation in terms of physical and mental health benefits. Theoretical and applied considerations have driven the search for the causal mechanism(s) that underpin mental health change through physical activity. To date, no single mechanism has been found to consistently explain changes. A key reason for this is that the occurrence of, and recovery from, mental health problems is influenced by many diverse factors. Both theoretical and methodological issues affect our ability to identify and understand these factors and, subsequently, our ability to promote psychiatric rehabilitation through physical activity. Alternative theoretical and methodological approaches are discussed here with the aim of encouraging a broad-based research agenda which will most effectively serve the needs of mental health service users. These approaches differ widely in scope but all share one thing in common: a personalized understanding of the process of mental health change in psychiatric rehabilitation.
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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 | 0.175 | 0.228 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".