Growing number of Americans retire outside U.S.
Bibliographic record
Abstract
Just under 400,000 American retirees are now living abroad, according to the Social Security Administration. The countries they have chosen most often: Canada, Japan, Mexico, Germany and the United Kingdom. A growing number of Americans are choosing to retire outside the U.S.The Social Security Administration says just under 400-thousand American retirees are now living abroad......and that number's expected to grow over the next 10 years as more baby boomers retire.The countries chosen most often are Canada, Japan, Mexico, Germany and the UK.Most retires cite the cost of living as the reason for moving somewhere else.The Pension Research Council says retirees also may find it less expensive to hire someone to do their laundry, clean, cook and even provide long-term care than in the U.S.However, there are some challenges.The language barrier can be a big one if retirees choose to live in a different country.Access to health care is another...for example, retirees still can receive Social Security benefits, but Medicare isn't available to those living abroad.For the AP...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.005 |
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".