Offshore jurisdictions (including Cyprus), corruption money laundering and Russian round-trip investment
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
In this paper we analyze the link between corruption money laundering and round-trip investment via offshore jurisdictions utilizing Russian firm-level data. In particular we empirically explore location strategies of round-trip investors (namely, from Cyprus and British Virgin Islands) across Russia and compare them with the benchmark group of genuine foreign investors in Russia. We further study the determinants of the fraction of round-trip investment in total foreign investment in Russian regions. We find that round-trip investors tend to locate in more corrupt Russian regions than their genuine foreign counterparts and the fraction of round-trip investment is also significantly higher in corrupt regions. Taking into account that a large fraction of round-trip investment in Russia is concentrated in real estate and financial sectors, our results point to the conclusion that there is a strong link between round-trip investment and corruption money laundering.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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