Financial volatility and the evolution of wealth inequality in Europe
Why this work is in the frame
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Bibliographic record
Abstract
The study of wealth inequality poses some unique challenges that do not present themselves when studying income inequality. The main challenge is that the value of wealth is in constant flux and the net positive or negative variations across the different segments of the wealth distribution will have an impact on both wealth inequality and the welfare of households. While the volatility in financial markets is well known, its implications on wealth inequality deserve to be analyzed in greater detail. The objective of this study is to determine the consequences of financial volatility on both wealth inequality and household welfare in selected European countries. In order to properly grasp the impact of financial volatility on the distribution of wealth, we propose a typology of wealth inequality scenarios that incorporates changes in both relative wealth inequality and the absolute welfare of households. The scenario approach offers a synthetic way of understanding how the distribution of wealth changes over a given time period.
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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 | 0.003 | 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 | 0.002 |
| 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