Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it