Emergence of National Nutrition Policy in the Lao People’s Democratic Republic: an analysis of collaborations between governmental and external actors
Bibliographic record
Abstract
BACKGROUND: In most developing countries, addressing malnutrition involves a coalition of stakeholders that includes the government and international development partners. This study explores the evolution of the malnutrition actor coalition landscape before and after the emergence of the National Nutrition Policy in the Lao People's Democratic Republic (Lao PDR) in 2008. METHODS: A qualitative study was conducted based on the theory of coalition structuring. Twenty semi-structured interviews were performed with representatives of national and international organisations involved in addressing malnutrition in Lao PDR. The information obtained from the interviews was complemented by an analysis of relevant documents dating back to 1990. Interviews were recorded and transcribed verbatim. A thematic analysis was performed using NVivo 11 software and the diagrams of collaboration drawn by the participants were turned into a visual collaboration map using SocNetV software. We relied on various types of triangulation to increase the analysis's credibility, reliability, and confirmability. RESULTS: The results showed that before the emergence of the National Nutrition Policy, three coalitions representing the health, agriculture, and education sectors coexisted. These colalitions worked largely in silos, although with some interactions when deemed necessary mainly by United Nations agencies. The emergence of the National Nutrition Policy provided the government with an effective political tool for coalescing the three coalitions into a unique coalition involving all major stakeholders in the nutrition field. All three forces that incite actors to collaborate inside a coalition according to the theory of coalition structuring (transactions, control, intangible factors) were mobilised in the creation of the single coalition. CONCLUSIONS: Combating malnutrition is a government priority in the Lao PDR. The current study showed that the National Nutrition Policy in Lao PDR has led to a significant evolution in the malnutrition coalition landscape, resulting in improved collaboration among stakeholders. This finding highlights the effectiveness of public policies in facilitating intersectoral activities to tackle complex problems, such as malnutrition.
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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 | 0.018 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".