A framework for funding culturally appropriate recovery for people affected by severe mental illness: a world view
Bibliographic record
Abstract
Mental illness is becoming a significant factor in disability throughout the world. In recent years, The concept of Recovery has become an important component of what is considered to be a benchmark of the treatment outcome for those affected by severe mental illness. However, the concept is complex because of the range of factors that impact on successful Recovery and the economic means of enabling these factors. Economic strategies to address significant disadvantage of Indigenous peoples in Australia and Canada, based on ideals of health developed by the World Health Organisation along with recent economic thinking to empower agency for change in disadvantaged people may lead to a similar strategy to develop Recovery programs in different economic and cultural systems. DOI: http://dx.doi.org/10.4038/sljpsyc.v2i2.4038 SLJPSYCH 2011; 2(2): 45-48
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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 | 0.090 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.029 | 0.018 |
| Open science | 0.008 | 0.028 |
| Research integrity | 0.025 | 0.023 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".