The Main Challenge of Our Times: A Population Growing Younger
Bibliographic record
Abstract
The real demographic challenge for Canadian policymakers is adapting to a population growing “younger, ” after taking increased life expectancies into account, says a report released today by the C.D. Howe Institute. In “The Main Challenge of Our Times: A Population Growing Younger, ” authors Marcel Boyer and Sébastien Boyer propose an alternative approach to population aging, which measures years to live instead of years since birth. Since 1950, Canadian life expectancy, on average, has increased. For example, a 65-year-old in 2010 had the same life expectancy as a 59.5 year-old in 1950. “Canadians are experiencing increases in longevity and are willing to work longer than previous cohorts, ” said Marcel Boyer. “Public policy should aim to provide Canadians with the instruments to better manage retirement decisions.”
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".