Bibliographic record
Abstract
With the continuous development of globalization, the global circulation of finance has gradually become the main feature of globalization.This paper first makes a preliminary discussion on the meaning, characteristics and performance of financial globalization; then reviews the history of the development of financial globalization, and on this basis analyzes the market impact of the U.S. subprime mortgage crisis; then discusses the dividends and opportunities brought by financial globalization, and analyzes the reasons and prospects with the case of overseas expansion of Japanese financial institutions; and then analyzes the challenges of financial globalization, financial crisis, financial security, and financial challenges under the epidemic, and propose the construction of a financial safety net, scientific use of financial derivatives, and increased regulation of international lending to cope with the process of financial globalization, maintain financial stability, and thus achieve further economic and social development.Through a combination of theoretical analysis and empirical analysis, this paper aims to reveal the nature of financial globalization, explain the dividends and challenges brought about by financial globalization, and how to deal with risks.Finally, provide a theoretical basis for policymakers to take measures to prevent related financial crises.This paper concludes that in the context of financial globalization and the post-subprime mortgage crisis, people should conduct a more systematic and comprehensive review of financial stability, so as to be able to better achieve sustainable economic and social development.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".