Food Insecurity and Aging: A Scoping Study of the Literature
Bibliographic record
Abstract
Literature on food insecurity (FI) and aging is limited and scattered across disciplines, the reasons for which include the nascence of the study of "hunger" more generally, and relatively lower rates of FI among older people. This scoping review synthesized and characterized the current research to prompt a more critical examination of food insecurity and aging. Data extraction included reviewing and characterizing the empirical, methodological and conceptual contributions of each study, accessed from selected health sciences and social sciences databases. Thirty-eight studies were included from 2,041 titles. Different methods and operationalizations of FI and age were found to be used across studies. Thematic analysis revealed, with few exceptions, consistent tendencies towards the biomedicalization of the FI issue alongside aging. These findings reinforce the value of population-level monitoring of FI and uptake of standard measures. Moving forward, the issue of FI and aging is an opportune topic for critical social analysis.
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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 | 0.031 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.050 | 0.049 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".