Bibliographic record
Abstract
Despite the recent COVID-19 crisis, Korea’s household debt exceeds the nominal GDP as of Q3 2020. This paper proposes to make up for the risk of underinsured household debt using credit insurance. Credit life insurance provides cover for debtors’ outstanding loan balance if they are unable to repay their loan due to death, accident & health, and involuntary unemployment. Consumer credit insurance is developed in advanced countries such as the U.S., Canada, and Japan. In the U.S., the National Association of Insurance Commissioners establishes the Credit Insurance Model Act to regulate premium rates and remuneration limits. Rate adequacy is reviewed every three years using the prima facie rates method. Canadian individuals have a 9% mortgage life insurance coverage. In Japan, the market for group credit life insurance related to long-term mortgage loans has developed since 1960s. Korean credit insurance market is underdeveloped due to both low awareness and strict regulation. Potential demand exists considering the household''s debt ratio and the size of debt. Nevertheless, the ownership of death protection insurance including credit life is significantly low level, and as a result, most of them are underinsured. For the development of the market, supervisory regulations framework should be established. It is desirable to use group credit life insurance policy affiliated with public long-term mortgage loans. The insurance companies require the expansion of disruptive channels and target of millennial groups.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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; both teacher heads agree on what is shown here.
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".