Stroke care in Armenia: Recent developments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Armenia is an upper-middle-income country with a population of nearly 3 million. Stroke is one of its major public health problems and ranks as the sixth leading cause of death, with a mortality of 75.5 per 100,000. Methods and results: Until recently, modern stroke care was not available in Armenia. During the past 8 years substantial advances have been made in building medical infrastructure and delivering acute stroke care. This manuscript describes contributors to this progress, including extensive and long-term collaboration with international stroke experts, the development of hospital-based stroke teams, and a funding commitment for stroke care by the government. Conclusion: The results of acute stroke revascularization procedures during the past 3 years are reviewed and found to meet international standards. Future directions are discussed including the immediate need to expand acute stroke care to underserved parts of the country by adding primary and comprehensive stroke centers. An active educational program for nurses and physicians and the TeleStroke system development will help support this expansion.
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.
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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it