The Case for Sunshine in the Life Settlement Industry
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
The secondary market for life insurance policies continues to grow as a result of the positive value created through improved liquidity for an otherwise illiquid asset. While there are critics of the life settlement industry, market forces and property rights ensure that the phenomenon of individuals reselling their life insurance policies will persist. As the life settlement market matures there are several changes that must occur in order to reduce transaction costs, allowing greater market efficiency and ensuring sustainability of the industry. This article makes the case for greater transparency and reduced transaction costs within the industry in order to increase returns to sellers, thereby motivating additional sellers to consider disposing of their policies and unlocking underlying value. <b>TOPICS:</b>Other real assets, exchanges/markets/clearinghouses
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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