Financialization Process and the Outcomes in Developed Countries
Bibliographic record
Abstract
After the 1980s, the neo-liberal economic policies of the Washington Consensus paradigm revealed by the market mechanism have become the dominant system. The globalization process of the world economy and the policies highlighted the concept of financialization. The balance shifted from production to finance in the financialization process and financial capital accumulation has become dominant and, local markets were opened to international capital flows. Thus the financial markets, the size of the institutions and processes have shown a significant increase in the entire world, particularly in the developed countries. This article aims to empirically explore the effects of financialization in the developed countries. For this purpose, current data were used in the paper to analyze these effects. In the paper, the process of financialization in the G8 countries was examined using data for a period of 19 years (1990–2008). The effects of financialization on GDP and employment have been analyzed by using panel data models. Findings suggest that there are important impacts of financial sector on GDP and total employment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".