The political economy of tobacco of Zimbabwe: An analysis of stakeholder perspectives
Bibliographic record
Abstract
Tobacco continues to be viewed as a path to economic development by some governments, including Zimbabwe, despite widespread knowledge of tobacco's negative consequences for users, farmers and the environment. Zimbabwe is one of the top five tobacco producers in the world and the largest tobacco producer in the African region. Zimbabwe's focus on tobacco production creates difficulties for the implementation of the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) which it signed in 2014. Our objective was to understand the political economy of tobacco in Zimbabwe, which can inform the implementation of WHO FCTC. We conducted 23 interviews with government, non-governmental, para-statal and other stakeholders in Zimbabwe's tobacco sector. The findings illustrate intersecting issues that make tobacco a complex policy issue in the country. Interviewees indicated that WHO FCTC implementation faces barriers due to tobacco being an important economic commodity. Specifically, interviewees highlighted the prioritization of tobacco in government strategic plans and as a priority agricultural crop. Additionally, lack of alternatives and debt obligations makes it challenging for smallholder farmers to shift away from tobacco. However, findings indicate that tobacco production is facing rising challenges including tobacco use among youth, deforestation and farmer health, poverty and debt making the supply and demand measures of the WHO FCTC even more crucial. These challenges may be starting points to engage with the government in order to encourage strategies to move away from tobacco as a key economic commodity.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".