Bibliographic record
Abstract
Abstract In this study, we improve on the research results of relational models that enable life table estimates from a small number of demographic indices, such as the Log Quad Model by Wilmoth et al. (Popul Stud 66(1):1–28, 2012) and the Extended Log Quad Model 1 by Horiguchi (J Popul Stud 58:13–28, 2022). Consequently, we propose the Extended Log Quad Model 2. This is a mortality rate model that reflects the remarkable improvement in old-age mortality rates in Japan since the 1970s. This is intended for application to the estimation of municipal life tables in Japan. The Extended Log Quad Model 2 is useful for municipal policymaking because it is possible to estimate future life tables with a high level of accuracy by projecting only life expectancy at the age of 65. It is also suggested that the Extended Log Quad Model 2 will be applicable to other developed countries, such as Australia, Canada, France, and New Zealand.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".