Community engagement and context in setting up a multi-faceted longitudinal intervention in rural India: The Healthy Life Trajectories Initiative
Bibliographic record
Abstract
Abstract The Healthy Life Trajectories Initiative programme is a ten-year joint initiative consisting of four separate but harmonised intervention studies in Mysore (India), Johannesburg (South Africa), Shanghai (China) and two provinces in Canada. They will test evidence-based multi-faceted interventions spanning from preconception into the postnatal period, to improve maternal, infant and child health, including cardiometabolic and neurocognitive well-being. Similar to the other studies, the India study was based on developmental origins of health and disease principles. However, it had to be adapted to fit in with the local socio-cultural context and government policy. We considered the contextual factors in our setting and undertook extensive engagement and formative work with the local community to develop the intervention package and plan delivery methods. This article describes the process we adopted to set up the India project, develop the intervention package and delivery methods.
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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 | 0.017 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| 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 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".