May Measurement Month 2018: results of blood pressure screening from 41 countries
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
In May 2017, the International Society of Hypertension (ISH) introduced the first in a series of annual blood pressure (BP) screening programmes with the simple aim of raising awareness of the importance of raised BP as the single biggest contributor to the global burden of disease and to globalmortality. After the success of this initial May Measurement Month (MMM) campaign—which included over 1.2 million screenees from 80 countries,2 MMM expanded in 2018 and again in 2019. The global results of MMM17 and MMM18 have been published elsewhere2,3 and the national data from 39 of 40 countries who screened at least 2500 adults in 2017 were collated as a European Heart Journal (EHJ) Supplement. 4 Here, we present a second collation of data from 41 countries with the highest number of participants who took part in MMM18.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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