Liberal Democratic Institutions and the Damages of Political Corruption1
Bibliographic record
Abstract
This article contributes to the debate concerning the identification of politically relevant cases of corruption in a democracy by sketching the basic traits of an originalliberaltheory of institutional corruption. We define this form of corruption as a deviation with respect to the role entrusted to people occupying certain institutional positions, which are crucial for the implementation of public rules, for private gain. In order to illustrate the damages that corrupt behaviour makes to liberal democratic institutions, we discuss the case of health care professionals’ abuse of their right to conscientious objection to abortion services. We show that the conscience clause can be instrumentally abused to sabotage democratically established public rules and thus exert undue private influence on their implementation. In this sense, from a liberal democratic perspective, institutional corruption is problematic because it is disruptive of such fundamental liberal ideals as the impartiality of public institutions and citizens’ political equality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.039 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".