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
This comparative study considers global perspective by including developed and developing economies for exploring the social and economic impact of aging. Using stratified, purposive, and networking technique, the online opened-ended questions responses were gathered from the sample of 258. The findings confirmed that there is no age of retirement. Aging population contributions are significant and termed in this study as ‘knowledge-gem' (GK). The older population rate is increasing at a greater pace in the emerging economies in comparison to developed economies. Interestingly, the social activities remain constant in both types of economies. Post-retirement, elderly women are significant contributors to social activities while men have significant contribution to economic activities. From the cultural perspective, the aging population is mainly found in the ‘collectivism' on the grid-group cultural (GGC) model. The aging population is facing the challenges of in-equalities based on gender, class, and race in both developed and less-developed economies.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it