Financial Crises and Inequality: Exploring the Relationship between Delinquency and Greater Polarization
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
High inflation, rising concerns around cost of living, the topic of finance and its related crises has seemingly been on the rise in the last few decades.Through understanding how financial/banking crises can be linked to inequality, it can be perceived as to whether inequality is simply inevitable and whether there are steps that can be taken in order to reduce its relevant extent.This essay will focus on leading up to, and following the Great Recession of 2007/2008 and find whether rising economic inequality has resulted in greater polarization overall.There is evidence to suggest that financial crises can cause and can result in an aftermath of great inequality however these effects may have varying levels of impact as well.Not only is understanding the relationship important, but the past can also provide answers for the future, especially relating to how inequality has been reduced and what methods have been drawn up at present to mitigate some of these issues.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| 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