Visualizing Worldwide Prevalence of Age-Related Dual Sensory Loss
Bibliographic record
Abstract
Objectives: This study aims to create a first visualization of global prevalence of age-related dual sensory loss (DSL), significantly affecting older people’s quality of life. Methods: Data from World Health Organization (WHO) regions, particularly African, American, and European, were analyzed. The study focused on DSL onset and prevalence, using adjusted life expectancy for regional comparison. Results: There were notable regional variations in DSL onset and prevalence. The African region showed consistent data, thanks to standardized methods from the World Federation of the Deafblind. However, global patterns varied when adjusted for life expectancy, hinting at possible DSL prevalence stabilization at older ages. Discussion: The study identifies a lack of standardization in DSL prevalence research regarding definitions, methodologies, and reporting. It calls for more uniform and thorough research methods for accurate global DSL understanding. The research highlights the complexity and challenges in determining DSL prevalence worldwide.
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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 | 0.001 | 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 | 0.000 |
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".