Bibliographic record
Abstract
Neurological disorders account for the most Disability Adjusted Life Years (DALY's) -of the Global Burden of Disease (10%). More than half of neurological DALY's result from the combination of stroke (42%) and dementia (10%). The two pose risk for each other and share the same predisposing factors. A stroke doubles the risk of dementia. The close interactions call for convergent approaches. Stroke and dementia also converge at the microscopic level. The neurovascular unit has emerged as a key organizational structure of the brain. Involvement of any of its elements affects all the others. Thus, neurodegeneration impairs the microcirculation and disturbances of the microcirculation accelerate neurodegeneration. Evolving technologies allow "in vivo" imaging of the usual mixture of vascular and neurodegenerative pathology of the elderly that makes them prone to stroke and dementia. Since they occur together, they should be prevented together with a multimodal approach of lifestyle changes and mechanistic therapeutic targets. The two fields are also converging at the policy level. The World Stroke Organization has updated its Proclamation to include potentially preventable dementias that has been endorsed by Alzheimer Disease International, The World Federation of Neurology, the American Academy of Neurology and 20 international, regional and national organizations. Those interested in stroke and those dealing with dementia should work together where they can, differ where they must, with the common aim of preventing jointly, both stroke and dementia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".