The Economics of Failed, Failing and Fragile States: Productive Structure as the Missing Link
Why this work is in the frame
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Bibliographic record
Abstract
The starting point of this paper is the proposition that there is a strong relationship between a particular type of national economic production structure and the propensity of a nation-state to fail. The failed states have common economic factors that distinguish them from, e.g. Finland, Canada or Singapore. The assertion is that any policy aiming at preventing nation-states from failing and/or alleviating poverty, should . in order to avoid treating mere symptoms rather than causes . include an analysis of how to bring the productive structures of failing states closer to the structure of those states that work satisfactorily and democratically. Typically failing and failed states have a very low percentage of GDP produced in the manufacturing (increasing returns) sector. The paper will provide extensive statistical data from 1950-2003 documenting the shift in national economic structure as a necessary starting point for economic growth.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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