Increase in Consumer Debt Preceding Crisis Due to Advancement in Technology, Further Evidence Supporting the Idea No Real Estate Bubble Existed Preceding Crisis Presented by Eddison Walters Risk Expectation Theory of the Global Financial Crisis of 2007 and 2008: The Case for Eddison Walters Modern Economic Analysis Theory
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 researcher called for economic research to consider the potential effect of advancement in technology on analysis of economic data in Eddison Walters Modern Economic Analysis Theory in the future represented a paradigm shift in economic analysis that will significantly reduce the potential for error due to data distortion in the future. The foundation of the world's economy is based on the sharing of information, yet very little attention has been given to the effect of technology advancement in the analysis of data. The researcher of the current study highlighted the critical nature of sharing information to the development of the world’s economy in the past, as well as the critical nature of sharing information to the world’s economy today. Advancement in technology has drastically improved the sharing of information and has led to the globalized economy. The lack of evidence supporting the widely accepted theory of the Global Financial Crisis of 2007 and 2008 prompted the investigation by the current researcher aimed at gaining insight into economic factors that were responsible for conditions contributing to the Global Financial Crisis of 2007 and 2008. Walters (2018) presented evidence suggesting no financial bubble existed before the Global Financial Crisis of 2007 and 2008. The study resulted in the development of “Eddison Walters Risk Expectation Theory of The Global Financial Crisis of 2007 and 2008”. The theory presented an alternative explanation for the financial crisis. The researcher called for additional investigation to gain insight into the nature of the cause of the Global Financial Crisis of 2007 and 2008. Further investigation in Walters (2019) provided evidence supporting the idea, technological advancement led to the rapid growth in home prices before the Global Financial Crisis of 2007 and 2008. The result from the analysis of data in Walters (2019) revealed the following, 0.989 Adjusted R-square, 194.041 Mean Dependent Variable, 5.908 Square Error of Regression, and 488.726 Sum-of-Square Residual, from nonlinear regression analysis. The dependent variable in the study was, “home purchase price” and the independent variable was, “advancement in technology”. The current study continued the investigation into factors that were described in the literature which set the conditions leading to the Global Financial Crisis of 2007 and 2008. Gaining insight into the effect of technological advancement on the significant increase in consumer debt prior to the Global Financial Crisis will significantly contribute to the understanding of the economic environment before the Global Financial Crisis of 2007 and 2008. Insight into the effect of advancement in technology on the increase in consumer lending prior to the Global Financial Crisis of 2007 and 2008, will significantly contribute to the understanding of the Global Financial Crisis of 2007 and 2008.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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