Vieillissement démographique et institutionnalisation des personnes âgées : des projections nuancées pour le Canada
Bibliographic record
Abstract
The consequences of population aging on the demand for institutional lodging will undoubtedly be considerable. The authors have estimated this future demand in relationship with the evolution of certain socio-demographic characteristics of tomorrow's elderly. Based on a multivariate analysis (logit model), their projections will demonstrate the need for an approach which takes into account the replacement of generations among the ranks of aged persons. In fact, in future the latter will be appreciably different from today's generations. Their sociodemographic characteristics will have an impact on the risk of living in an institution and, thus, on the proportion and the number of institutionalized elderly people. Furthermore, they will probably be in a position to be able to contribute towards a greater portion of the costs of institutional living. Certainly, the burden of institutionalization will be further weighed down by the arrival of the Baby Boomers into the 65 years and over age bracket. This article nevertheless distinguishes some significant nuances within the scope of this phenomenon.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".