Bibliographic record
Abstract
of Psychiatrists in Africa.Professor Asuni was Director of the United Nations Social Defence Research Institute in Rome in the 1980s.He had a lifelong interest in the mental health of homeless people, as well as many other interests.He had an invaluable impact on improving mental health in Nigeria.The Psychiatrist will feature a full obituary of Professor Asuni. International Narcotics Control BoardOn 19 September 2011 in New York at the United Nations General Assembly High-Level Meeting on the Prevention and Control of Non-communicable Diseases, the President of the International Narcotics Control Board (INCB), Professor Hamid Ghodse, emphasised that millions of people around the world are afflicted by mental illnesses, which are non-communicable diseases and which include substance use disorders.Substance misuse requires prevention and treatment and is a contributing factor to some other noncommunicable diseases.Addressing the Roundtable on strengthening national capacities and policies, Professor Ghodse highlighted the importance of the availability of internationally controlled drugs in the treatment of non-communicable diseases and for the relief of associated pain.He stressed that appropriate medical use of controlled medicines can improve the quality of life of patients, with opioids being essential in the palliative care of cancer patients and psychotropic substances being a key component in the treatment of mental illness.However, there are considerable disparities in the availability of controlled substances.Ninety per cent of global consumption of analgesics is accounted for by a number of high-income countries, and overconsumption in some countries is increasingly of concern.In contrast, 80% of the world's population has no or limited access to these essential medicines.Professor Ghodse reminded member states of the right of all people to be free from the pain and suffering caused by non-communicable diseases and said that prevention should be the primary means of achieving this.Well-functioning regu latory systems within each country are essential in
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".