Age, 1996 - The Oldest Old (75 years and over) by Census Subdivision
Bibliographic record
Abstract
The population 75 years of age and over is referred to as the "Oldest Old". This group is distinct owing to the noticeable changes in the health status, which are reflected by the different patterns apparent on the map. One pattern that is evident on the layer containing the census divisions and is even more so when observing the census subdivision layer at a greater zoom is that several census divisions containing cities belong to the highest class. See for example Halifax, Fredericton, Saint John, Charlottetown and Regina. The services the elderly need are often located in the larger cities. The census subdivisions indicate that the small towns in the Prairies also have high proportions of this age group. The working-age people are leaving many rural areas to go to towns and cities to seek jobs. As elderly parents need more care they often move closer to their children or move in with them. The cities also provide the facilities and services that this group increasingly needs.
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How this classification was reachedexpand
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".