global diabetes walk campaign on world diabetes day 14th Nov in up India & its impact on public health facility & policy
Bibliographic record
Abstract
For the last three years, the state Ministry of Health and Family Welfare has issued a letter to all districts and blocks in Uttar Pradesh, encouraging participation in Global Diabetes Walks on 14 November. Screening camps, marathons, and other sports competitions have also taken place, with official support. A survey of around 1400 public sector health care professionals found that diabetes knowledge increased from 25% to 70%, Dr Jain says. Another survey found increased demand for diabetes screening among the public in 998 healthcare facilities. u201cPreviously, diabetes screening was available in one block in each district, now it is available in all the districts and all the blocks.It is mandatory to screen all patients above 30 years, and requests for screening and other services have increased by more than 20 times,u201d he says. The Global Diabetes Walk campaigns have supported wider efforts to improve diabetes prevention and care in Uttar Pradesh u2013 especially efforts to improve diabetes awareness, Dr Jain says
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.051 | 0.017 |
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".