Bibliographic record
Abstract
LOBAL HEALTH IS “AN AREA FOR STUDY, RESEARCH and practice that places a priority on improving healthandachievingequityinhealthforallpeople worldwide.” 1 Global mental health is the application of these principles to the domain of mental ill health. The most striking inequity concerns the disparities in provision of care and respect for human rights of persons living with mental disorders between rich and poor countries. Low- and middle-income countries are home to more than 80% of the global population but command less than 20% of the share of the mental health resources. 2 The consequent “treatment gap” is a contravention of basic human rights—morethan75%ofthoseidentifiedwithseriousanxiety, mood, impulse control, or substance use disorders in the World Mental Health surveys in low- and middleincome countries received no care at all, despite substantialroledisability. 3 Insub-SaharanAfrica,thetreatmentgap forschizophreniaandotherpsychosescanexceed90%. 4 Even
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.209 | 0.045 |
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".