Capitalist investment and political liberalization
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
We consider a simple political-economic model where capitalist investment is constrained by the government's temptation to expropriate. Political liberalization can relax this constraint, increasing the government's revenue, but also increasing the ruler's political risks. We analyze the ruler's optimal liberalization, where our measure of political liberalization is the probability of the ruler being replaced if he tried to expropriate private investments. Poorer endowments can support reputational equilibria with more investment, even without liberalization, so we find a resources curse, where larger resource endowments can decrease investment and reduce the ruler's revenue. The ruler's incentive to liberalize can be greatest with intermediate resource endowments. Strong liberalization becomes optimal in cases where capital investment yields approximately constant returns to scale. Adding independent revenue decreases optimal liberalization and investment. Mobility of productive factors that complement capital can increase incentives to liberalize, but equilibrium prices may adjust so that liberal and authoritarian regimes coexist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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