Doubling of spending on dementia research by 2025 is inadequate, say experts
Bibliographic record
Abstract
The world’s leading developed nations have promised to redouble efforts to tackle dementia, after a meeting in London declared it to be a major global disease burden, already affecting 35 million people. The G8 countries—the United States, United Kingdom, Canada, France, Germany, Italy, Japan, and Russia—promised to increase funding for dementia research, with the ambition of identifying by 2025 a cure or treatment capable of slowing the disease. The UK, which currently chairs the G8, called the meeting and heralded the outcome as “the day that the global fightback against dementia began.” Jeremy Hunt, England’s health secretary, drew a parallel with the effort to tackle HIV and AIDS, which had led to effective treatments. Seeking to …
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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 | 0.010 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.025 | 0.029 |
| Insufficient payload (model declined to judge) | 0.040 | 0.027 |
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".