Debt, Corruption, and State Identity: Lessons from Eighteenth‐Century Political Thought
Bibliographic record
Abstract
Abstract The subject of national debt raises serious questions concerning state identity. Should a state that has radically altered its constitution be responsible for decisions taken by the previous state? Much hangs on how we characterize the state as a continuous agent. This article explores debates over national debt, state integrity, and corruption in the eighteenth century, the era in which the modern financial‐bureaucratic state was in its infancy. Many eighteenth‐century writers treated national debt as corrupting; some advocated voluntary default as a manner of laying low the insidious “moneyed interests” usurping political power. But if public debt was attacked by some as the soul of corruption, others saw it as something that had been made possible by—and was a guarantor of—integrity. These controversies reveal a clash of visions of what constitutes state integrity. This same clash is alive in contemporary debates about national debts.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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 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".