Development of Investment Life Insurance in Russia
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
Investment life insurance products appeared in the life insurance segment in the mid-70s of the last century and by the end of the decade, began to gain popularity in many countries (USA, Canada, Asia and Europe). Throughout its history of development, investment life insurance has experienced many ups and downs. Each financial crisis has had a negative impact on its development indicators. Despite this, interest in investment life insurance persists, as more and more potential policyholders want to use investments in various financial instruments in combination with insurance protection. At the same time, they agree to pay a higher insurance premium, being confident that they receive more for it than with traditional endowment life insurance. The article provides arguments in favor of the need for a legislative revision of restrictions on investment life insurance in order to increase its further attractiveness.
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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 | 0.000 | 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 | 0.000 |
| 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