“Integrating Kuwait’s Mental Health System to end stigma: a call to action”
Bibliographic record
Abstract
Despite the global prevalence of mental illness and its negative effects on the economy in terms of healthcare spending, many affected individuals do not receive timely or adequate treatment due to stigmatization of such disorders in their communities. Being labeled as mentally ill can have detrimental consequences in several cultures. In Kuwait, the stigma associated with visiting the country's main provider of mental health services, the Psychological Medicine Hospital, is an obstacle for many seeking professional help for mental health. Cultural acceptance of visiting the local primary care clinic, however, allows frequent contact with primary care physicians who often find themselves frustrated at their inability to provide psychiatric services because it is not part of their training. The refusal of the patient to be referred to a stigmatized institution further increases the challenges of treating such patients for these physicians. The integration of mental health care into general health services is a concept encouraged by the World Health Organization's 2001 World Health Report and should be considered in order to overcome this dilemma. Such integrated care would serve as a cost-effective solution to facilitating the treatment of these individuals and reducing the stigma associated with mental disorders through education.
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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 | 0.008 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.019 | 0.029 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".