Two Slices of Bread: Community Food Support Services and Older Adults
Bibliographic record
Abstract
Today, many older adults in Canada face food insecurity, however, there is a lack of research addressing this critical issue. With the recent Covid-19 pandemic and rising neoliberal austerity measures many older adults are becoming increasingly vulnerable to food insecurity. This study aims to explore the question of how community food support services can enhance their programming to fit the needs of the growing older adult population. Utilizing in-depth qualitative interviews conducted either in person or online, the researcher gathered insights from two older adults aged 60 plus and two service providers working in the field of older adults and food insecurity. The service providers working with aging adults emphasized that pride serves as a significant barrier preventing older adults from accessing food support. To combat these challenges, the research recommends the implementation of community initiatives to destigmatize accessing support from food banks. Additionally, the older adults expressed concerns about the lack of fresh produce available at community food banks. To address this, the research suggests that food banks foster partnerships with local farmers and grocery stores to increase the amount of fresh produce available. These findings highlight the importance of this topic and serve as a call to action. Further research is essential to tackle this critical topic, as well as the implementation of targeted community initiatives and policies aimed at tackling this important social issue.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".