A Social Ecological Perspective of the Influential Factors for Food Access Described by Low-Income Seniors
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Understanding the factors that affect food access and consumption by seniors will lead to improved comprehension and measurement of food security for this subgroup. Semi-structured interviews with low-income, community-living seniors (n = 18) were tape-recorded and transcribed. Interviews were coded and themes were identified using a constant comparison method of analysis. Applying a social ecological framework, three spheres of influence were described: intrapersonal (e.g., health and budget), interpersonal (e.g., informal assistance and socializing) and environmental (e.g., city transportation and grocery stores). Although preliminary, these results demonstrate the importance of interpersonal and environmental factors on food access and security for seniors.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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