Regional disparities in Canadian adult and old-age mortality: A comparative study based on smoothed mortality ratio surfaces and age at death distributions
Why this work is in the frame
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Bibliographic record
Abstract
This paper examines adult and old-age mortality differentials in Canada between 1930 and 2007 at the provincial level, using theCanadian Human Mortality Database and the flexible smoothing P-spline method in two-dimensions well-suited to the study of smallpopulations. Our analysis reveals that provincial disparities in adult mortality in general, and among the elderly population in particular,are substantial in Canada. Moreover, based on the modal age at death and the standard deviation of ages at death above the mode,provincial disparities at older ages have barely reduced over time, despite the great mortality improvements in all provinces since the early 20th century. In the last few years studied, evidence of the shifting mortality regime was found among females in most Western and Central provinces, while all males were still undergoing an old-age mortality compression regime.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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