Bibliographic record
Abstract
This paper explains the lack of democratization in resource exporting countries using a two period resource extraction model. There are two classes of agents: elite who own capital and natural resources and citizens who own labor. The elite announce, in the rst period, their plans for resource extraction and investment in the economy. Citizens, in the second period, decide whether to conduct a revolution against elite to capture their share of rents from un-extracted resources. Government policies are designed to ensure that the elite remain in power and that citizens do not have the incentive to revolt. These policies subsidize extraction and investment during the rst period. The extraction subsidy reduces the benet of revolution while the investment subsidy increases its cost. On the other hand, policies in the democracy case are not constrained by the revolution threat and represent the median voter preferences. The resource is over extracted in the non-democratic case compared to the democratic case. Also, investment in the non-resource sector is lower. The important nding of the model is that extraction path goes against price signals; rst period extraction increases with the increase of the resource price in the second period. Non-Democratic institution is the rational choice of the elite even with the costly policies to prevent a revolution.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".