The Future Development Tendency of the International Financial Law from the Perspective of Financial Crisis LA TENDANCE DE DEVELOPPEMENT DE LA LOI FINANCIERE INTERNATIONALE DANS LA PERSPECTIVE DE LA CRISE FINANCIERE
Bibliographic record
Abstract
The global financial crisis triggered by the subprime mortgage crisis in America made a severe impact on the economies of the whole world including China. The paper analyzes the causes of the crisis, pointing out the deficiencies and insufficiency of the international laws today and offering constructive suggestions to its future development. The analysis of the causes of the crisis and the review of the neglects of the international financial laws in the paper are aimed to offer some suggestions to the reform and improvement of the international financial system in the future. Keywords: Financial crisis; international financial law; deficiency; tendency Resume: La crise financiere mondiale declenchee par la crise des subprimes aux Etats-Unis a eu un impact severe sur les economies du monde entier y compris la Chine. L'article analyse les causes de la crise, en soulignant les deficits et les insuffisance de la legislation internationale actuelle et offre des suggestions constructives pour son developpement futur. L'analyse des causes de la crise et la revision du manquement d'interet des lois financieres internationales dans cet article ont pour but d'offrir quelques suggestions pour la reforme et l'amelioration du systeme financier international dans l'avenir.Mots-cles: crise financiere; lois financieres internationals; deficits; tendance
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".