Impartiality and the Definition of Corruption
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
The study of political corruption has been beset by disagreements concerning the exact definition of the term. One definition that has grown increasingly popular in the social-scientific literature in recent years is that proposed by Oskar Kurer and developed by Bo Rothstein: political corruption should be understood as a breach of the norm of impartiality. This article argues that while this definition has intuitive plausibility and while its relative parsimony makes it attractive for cross-cultural social-scientific research, it suffers from a number of the ills attending all attempts to depoliticize inherently political concepts. Not only is the definition insufficient to capture numerous instances of the abuse of the public office for private gain, but it is dangerous insofar as it papers over fundamental disagreements about the nature of the good regime. To insist upon this parsimonious definition of corruption is to foreclose a number of essential questions of political philosophy.
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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 | 0.001 | 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 | 0.002 |
| 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