Population Aging in Canada: Software for Exploring the Implications for the Labour Force and the Productive Capacity of the Economy
Bibliographic record
Abstract
This report has two purposes: (1) to introduce a new version of the MEDS (Models of the Economic Demographic System) software; and (2) to apply it in a series of illustrative projections. The software is designed to illustrate the medium- to longer-term responses of the Canadian population and economy to a wide range of factors on either the demographic side, such as changes in rates of fertility, migration, and mortality, or the economic side, such as changes in the rate of technical progress or the educational attainment of young people or of new immigrants. "Standard" projections are provided, together with nineteen alternative projections. (For some illustrative projections, see http://socserv.mcmaster.ca/qsep.) The range of projections indicates the breadth of applications for which MEDS has been designed. It serves also to provide some quantitative measures of the likely demographic and economic consequences of population aging, and indicates the scope for evaluating policy initiatives by means of simulation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".