Institutionalizing a global anti-corruption regime: Perverse effects on country outcomes, 1984–2012
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
A global anti-corruption movement rapidly mobilized and institutionalized during the mid-1990s. Using data for 119 countries between 1984 and 2012, I examine the effects of this movement on rated levels of perceived corruption. Results from multivariate regression analyses show that the global surge in anti-corruption organizing, monitoring, and legalization was paradoxically associated with an increase in rated levels of corruption, over and above a host of political, economic, social, and cultural factors shown in previous research to explain perceived corruption. With the international standardization, scrutinization, and stigmatization of corruption, activities once hidden from view or previously regarded as ‘standard operating procedure’ came to be denominated, detected, and decried as illegitimate. In turn, these processes gave the impression that corruption worsened, when in fact it may have remained stable or even improved. These findings lend support to institutional approaches in sociology and the ‘information paradox’ concept in political science.
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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 | 0.000 | 0.000 |
| 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