Democracy and Deceit: Regulating Appearances 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
While corruption has long been recognized as an appropriate object of regulation, concern with appearances of corruption is of recent origin, coinciding with declining trust in government in the mid‐ to late‐1960s. The reasoning that would support regulations of appearances, however, remains flawed, as it depends upon a “public trust” model of public service that is incomplete and often misplaced when applied to political representatives. The justification for regulating appearances is unambiguous, however, from the perspective of democratic theory. Democratic institutions of representation depend upon the integrity of appearances, not simply because they are an indication of whether political representatives are upholding their public trust, but because they provide the means through which citizens can judge whether, in particular instances, their trust is warranted. Representatives, institutions, and ethics that fail to support public confidence in appearances disempower citizens by denying them the means for inclusion in public judgments. These failures amount to a corruption of democratic processes.
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 | 0.002 | 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 | 0.000 | 0.003 |
| 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