Bibliographic record
Abstract
Understanding the culture and lifestyle choices of retirees has never been so crucial. The aging baby boom population bubble means that by 2030 eighteen percent of the U.S. will be 65 or over. The lifestyle decisions of these individuals will have far-reaching implications culturally, politically and economically. Since more women are living their post-retirement lives alone and in economically challenging situations, this paper examines the mobility of older women in the form of international retirement migration as a strategy to ameliorate levels of economic and general well-being. Historically people have retired abroad for various reasons, but current practices suggest that retiring permanently in a foreign country has become an increasingly popular aging strategy. Retiring abroad does not come without serious challenges, however, as the strains of navigating the aging process are interwoven with living in a foreign culture. Based on research done in Mexico, and southern France, this paper highlights the efforts put forth by aging women to avoid the well-trodden path of retirement before them and to forge a new path, choose a new homeland, and perhaps, reinvent themselves a bit along the way.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".