LEVERAGING CRITICAL RURAL GERONTOLOGY TO IMPROVE RURAL GERONTOLOGICAL HEALTH
Bibliographic record
Abstract
Abstract A critical approach in rural gerontology has led to a better understanding of the complex interplay between older adults unique aging experiences and the multidimensional and dynamic communities in which they live. The evolution of critical rural gerontology will be explored, outlining why a similar approach is needed in rural gerontological health. In particular, rural gerontological health literature must expand beyond a deficit focus that homogenizes older adult health experiences and recognize the complexities of negotiating older adult health within multidimensional rural spaces. Inherent in this approach is recognizing the intersectionality of older adult health as well as the need to study rural gerontological health as an experience enhanced and inhibited by interactions within and across formal health services, informal social services and informal care. This approach will contribute to innovations in policy and practice addressing the burgeoning interest of how to effectively care for older adults in rural settings.
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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 | 0.028 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".