Democratic Accountability During Performance Audits Under Pressure: A Recipe for Institutional Hypocrisy?
Bibliographic record
Abstract
Abstract This study shows how the tensions between transparency and secrecy are likely to engender ‘institutional hypocrisy’ in the accountability process taking place during Supreme Audit Institutions’ performance audits. The examination of relations between the French Cour des comptes, Administration and Parliament has revealed gaps between Administration and Parliamentarians’ discourse and action, secrets and things left unsaid. This impression of Administration and Parliamentarians’ full participation in this democratic process may give to citizens a false sense of security leading them to believe that accounts are indeed rendered, which is not actually the case. Rather, the appearances of functional democracy have been preserved.
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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 | 0.054 | 0.146 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.039 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".