Age Structure, 2006 - Golden Years by Census Subdivision (65 - 79 years)
Bibliographic record
Abstract
Canada is an aging society. In 2006, 13.7% of the total population of Canada was 65 years and over. This proportion was 9.7% only twenty five years ago in 1981. During the same period, the proportion of the population that was very old increased at a more rapid pace. For example, between 1981 and 2006 the proportion of the population that was 80 years and over rose from 1.7% to 3.7%. The number of people in this age group topped the 1 million mark (at 1.2 million) for the first time in 2006. In 2006, the population of Saskatchewan was the oldest in the country with 15.4% of the population 65 years and over. It also had the largest proportion of the oldest old, where one out of every 20 Saskatchewan residents was 80 years of age and over. The national average was one in 27. Saskatchewan's situation is unique, in that it has both the largest proportion of seniors and one of the largest proportions of children among the provinces. This is attributable to several factors: higher fertility compared to any other Canadian province due to a large Aboriginal population; a life expectancy that was, until quite recently, one of the highest in the country; and substantial losses of young adults migrating to Alberta to find employment. In general, Atlantic Canada (Newfoundland, and Labrador, Prince Edward Island, Nova Scotia, and New Brunswick) and British Columbia had an older age structure population (14-15% in the age group 65 and over) compared with the national average, once again a reflection of their lower fertility rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".