Uses and Perspectives of Aging Well Terminology in Taiwanese and International Literature: A Systematic Review
Bibliographic record
Abstract
The aim of this study is to examine aging well (AW) terminology in Taiwan in its local and global contexts, and to suggest ways of communication by Taiwanese professionals that is sensitive to the lay public's preferences. Researchers conducted a systematic review using Khan et al.'s strategy, and Harden and Thomas' method, to sift through seven databases and synthesize diverse studies on AW. Primary aging well terms used in English and Chinese, their usage frequency in Taiwanese academia, and one term uniquely used by lay people in Taiwan were identified. The synthesized literature illustrated commonality as well as diversity in use and interpretation of aging well terms within Taiwanese society and compared with the Western-based research. More qualitative research is needed to explore how AW is experienced, interpreted, and expected from lay perspectives in Taiwan and other countries have primarily relied on translation and adaptation of Western terms in their scientific research.
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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 | 0.016 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.027 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".