Democracy, institutions and famines in developing and emerging countries
Why this work is in the frame
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Bibliographic record
Abstract
The paper has a two-fold objective.First, it theoretically and empirically analyses the effects of democracy on famine mortality.Second, it examines the role played by other institutional/governance factors.The econometric exercises realised with data on a group of emerging and developing countries confirm the validity of Amartya Sen's 'democracy prevents famine' argument.Moreover, two main institutional indicators, computed by the World Bank, 'control of corruption' and 'government effectiveness', are found to be negatively correlated with famine mortality, suggesting that the policy environment, the level of bureaucracy and governmental capacity to take prompt decisions are relevant for reducing famine mortality.These factors are important also among countries with the same political regime.RE SUME Ce travail a un double objectif.D'abord, il analyse the oriquement et empiriquement les effets de la de mocratie sur la mortalite cause e par la famine.Deuxie `mement, il examine le ro le joue ar d'autres facteurs institutionnels et de gouvernance.Les e tudes e conome triques, base es sur des donne es d'un groupe de pays e mergents, confirment la validite de l'argument que la de mocratie empe che la famine d'Amartya Sen. En outre, deux principaux indicateurs institutionnels, la lutte contre la corruption et l'efficacite du gouvernement , mesure s par la Banque mondiale, se trouvent e tre ne gativement lie s a `la mortalite par famine, ce qui sugge `re que l'environnement politique, le niveau de bureaucratie, et la capacite du gouvernement a `prendre des de cisions rapides, sont des facteurs de terminants pour la re duction de la mortalite par famine.Ces facteurs sont e galement importants parmi les pays ayant le me me re gime politique.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 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 it