Global child and adolescent mental health: a culturally informed focus
Bibliographic record
Abstract
The Global Burden of Disease (GBD) was first published in 1996 by Murray and Lopez.1,2 One of its key findings was that mental disorders were among the major causes of disability in high-income countries and low- and middle-income countries (LMICs). The investigators of the GBD study estimated thatdepression alone caused more disability than either nutritional problems or human immunodeficiency virus (HIV), which were then the prime foci of US health-related international programs.1 At present, the World Health Organization (WHO) rates depression as the single greatest cause of disability worldwide, affecting at least 350 million people.1 The 2010 GBD study showed that mental disorders account for 7.4% of the world’s burden of healthconditions in terms of disability-adjusted life years and nearly a quarter of all years lived with disability, more than cardiovascular diseases orcancer.3 The global economic costs of mental disorders were estimated at $2.5 trillion in 2010 and are projected to reach $6 trillion by 2030.3 Based on the above-mentioned findings, the WHO Action Plan recognized mental health as a global priority in May 2013. As a result of this pledged action, mental health is now discussed at the highest level policy forums devoted to global health and development. On the scientific side, after more
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".