L'accession a la propriete pendant le cycle de vie des Canadiens : analyse fondee sur les donnees du Recensement de la population du Canada
Bibliographic record
Abstract
L'accession a la propriete influe sur les decisions en matiere d'investissement, de consommation et d'epargne, et elle joue un role important au regard du mieux-etre a la retraite. Le present document pose deux questions. En premier lieu, dans quelle mesure les Canadiens acquierent-ils et conservent-ils une propriete aux differentes etapes de leur vie, notamment apres la retraite? Deuxiemement, le profil de l'age d'accession a la propriete change-t-il d'une generation a l'autre? A partir des donnees de huit recensements de la population du Canada menes de 1971 a 2006, nous observons une forte constance du profil de l'age d'accession a la propriete dans toutes les generations de Canadiens. Le taux d'accession a la propriete augmente rapidement parallelement a l'age du ou des soutiens du menage (c'est-a-dire la ou les personnes qui payent les couts d'habitation) dans la periode precedant l'age de 40 ans, puis il continue de croitre plus lentement par la suite jusqu'à ce qu'il atteigne un plateau vers 65 ans, age auquel les trois quarts des menages canadiens sont proprietaires de leur maison. Le taux d'accession a la propriete change peu pour les personnes de 65 a 74 ans, mais il commence a flechir pour celles de plus de 75 ans. Nous observons aussi que le niveau auquel l'accession a la propriete se stabilise a constamment remonte pour toutes les cohortes de naissance depuis les annees 1970.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".