Qui seront les premiers nés du baby-boom à risque de vulnérabilité financière à la retraite? Une comparaison Québec-Ontario
Bibliographic record
Abstract
The oncoming retirement of baby boomers has governments worried. Will individual baby boomers demonstrate the ability to prepare financially for their retirement? Well-being in retirement depends largely on financial preparedness during working life. Those baby boomers who are the most vulnerable at the end of their working lives are more likely to become vulnerable during retirement. This study looks at the income of the first baby boomers, those born between 1946 and 1956, aged 50 to 60, according to the 2006 Canadian census. First we establish the socio-economic categories for which members are most financially vulnerable. Then, we estimate how many baby boomers are vulnerable and to what extent. This study's preferred approach is an interprovincial comparison between Quebec and Ontario, used to analyze individual aspects of baby boomers' financial positions.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".