From colonisation to globalisation: a history of state capture by the tobacco industry in Malawi
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
Malawi, the world's most tobacco dependent country, has long defended the tobacco industry as essential to its economy. The impoverished living conditions of tobacco farmers, however, raise questions about the true benefits accruing to the country. While the government and industry often blame public health advocates for declining leaf prices, and thus lower returns to farmers, this article scrutinises these claims from a historical perspective. It argues that a context of state capture has characterised Malawi's tobacco industry, originating with colonisation and evolving since to become increasingly entrenched. The analysis is divided into four periods: colonial (1890s-1964); national (1964-1981); liberalisation (1981-2004) and accelerated globalisation (2004 to present). Each period demonstrates how industry interests influenced government institutions and policies in ways that increased dependence on a crop that only benefits a minority of Malawians. Today, a transnational elite prospers at the expense of local growers.
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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 | 0.000 |
| 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) | 0.000 | 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 it