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
Political philosophers rarely take on the topic of political corruption, despite the fact that corruption is so costly to human wellbeing, and so clearly separates well-governed from poorly governed polities. Ceva and Ferretti's book is the most complete attempt to remedy this deficit to date. Their key contribution is to conceptualize institutions in such a way that the offices they define link clearly to public ethics. Officeholders are accountable for their power mandate, not just within a hierarchy, but ethically, because their duties serve the public purposes that justify the institution. This said, their approach works best for impartial institutions in which the public duties of offices are clear and actionable, such as professional bureaucracies. We also need an ethically driven conception of political corruption for political institutions that contain and channel political partiality, especially democratic institutions within which the ethical purposes of public legislation are argued, deliberated, and voted. Extending a public ethics account of political corruption to democratic institutions can and should be a next step in this important project.
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 | 0.005 | 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 | 0.002 |
| 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