Cohort Working Life Tables for Older Canadians
Bibliographic record
Abstract
Abstract We construct cohort working life tables for Canadian men and women aged 50and older and, for comparison, corresponding period tables. The tables arederived using annual single-age time series of participation rates for 1976-2006from the master files of the Statistics Canada Labour Force Survey. The cohortcalculations are based on stochastic projections of mortality coupled withalternative assumptions about future participation rates. Separate tables areprovided for the years 1976, 1991, and 2006, thus spanning a period ofsubstantial gains in life expectancy and strong upward trends in femaleparticipation. Life expectancies based on the cohort tables are greater thanthose based on the period tables, for both men and women, and that is reflectedin increased retirement expectancies. For example, a male aged 50 in 1976could have expected to live three years longer and to have almost four moreyears in retirement, based on the male cohort table under medium assumptions,as compared with the corresponding period table. Résumé Nous avons établis des tables de vie active par génération pour les Canadiens etCanadiennes âgés de 50 ans ou plus ainsi que des tables du momentcorrespondantes pour servir de comparaison. Les tables sont dérivées à l'aidede séries chronologiques annuelles d'un seul âge pour le taux d'activité pour lesannées 1976 à 2006 provenant des fichiers maîtres de l'Enquête sur lapopulation active de Statistique Canada. Les calculs par génération sont baséessur des projections stochastiques de mortalité et sur des suppositions quant àde futurs taux d'activité possibles. Des tables séparées ont été établies pour lesannées 1976, 1991 et 2006 ; ce qui représente une période qui a vu des gainssubstantiels en ce qui concerne l'espérance de vie et une forte hausse d'activitéchez les femmes. Les espérance de vie basées sur les tables par génération sontplus élevées que celles basées sur les tables du moment, pour les hommes et lesfemmes ; ceci se traduit par des espérances de retraite accrues. Par exemple, unhomme âgé de 50 en 1976 pouvait s'attendre à vivre trois ans de plus et àpasser presque quatre ans de plus en retraite basé sur la table par générationavec des suppositions moyennes, comparé à la table du moment correspondante.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.010 | 0.015 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.065 | 0.009 |
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".