Resisting Transparency: Corruption, Legitimacy, and the Quality of Global Environmental Policies
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
The domestic endorsement and institutionalization of transparency is of central importance to the implementation of global environmental policies. Studies often contend that interaction with international organizations (IOs) promotes domestic support for transparency. This article qualifies this conclusion and suggests that the positive effects of interaction with international organizations depend on the quality of IO decision-making processes, defined as their fairness, predictability, and effectiveness. Unfair, ineffective, and unpredictable decision-making processes in IOs can increase corruption, reduce legitimacy, and make officials blame transparency for unsatisfactory decision-making. The results build on a study of government officials in developing countries responsible for managing funds from the Clean Development Mechanism and the Multilateral Fund for the Implementation of the Montreal Protocol. Our findings suggest that government officials who perceive IO systems as unfair, ineffective, and unpredictable cultivate an adversarial relationship with media and NGOs and become more critical of the benefits of transparency.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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