Bibliographic record
Abstract
According to recent conceptual proposals, institutional corruption should be understood within the boundaries of the institution and its purpose. Political corruption in democracies, prominent scholars suggest, is characterized by the violation of institutional ideals or behaviors that tend to harm democratic processes and institutions. This paper rejects the idea that compromises, preferences, political agreements, or consent can be the baseline of conceptualization of political corruption. In order to improve the identification of abuse of power, the concept of political corruption should not be related directly to democratic institutions and processes; rather, it should be related to ideals whose content is independent of citizens’ preferences, institutions and processes. More specifically, I articulate the relations between political corruption and the notion of subjection, and include powerful citizens in the category of political corruption. Yet, I also suggest redefining under what conditions agents are culpable for their motivations in promoting private gain. By doing this, we better realize how democratic institutions can be the source of corruption and not just its victims. Such a redefinition, I propose finally, is the basis for the distinction between individual and institutional corruption.
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.
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 | 0.003 | 0.005 |
| 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 | 0.001 |
| 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 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".