La géographie du vieillissement au Canada atlantique: une analyse sous l’angle des disparités territoriales au cours de la période 1981–2006
Bibliographic record
Abstract
Following the example of other Canadian provinces, those in Atlantic Canada are affected, albeit to a lesser degree, by the increase in the number of persons aged 65 or over, a trend that we can define as gerontogrowth. In addition, this region of Canada seems particularly affected by the trend of an aging population, that is, the rise in the proportion of people in the total population aged 65 or more. For example, on a national scale, New Brunswick is the third oldest province according to the last five-year period (2001-2006), having advanced from the fourth position it held between 1981 and 2001 and from the fifth position occupied between 1971 and 1981. In addition, these trends evolve in different manners in different places, contrasts that are strongest at the regional and local level. The goal of this article is to examine the strength of these disparities during the period 1981 to 2006 and to identify some potential solutions for a territorial development strategy for seniors.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".