The Food Mail Program: “When Figs Fly” – Dispatching Access and Affordability to Healthy Food
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
Although Canada enjoys a fairly high standard of health and reports low rates of obesity and lifestyle diseases in comparison with the rest of the developed world, there is an increasing concern regarding the health of the Aboriginal population in the North. A significant percentage of Canada's Aboriginal communities are located in remote regions of the country and thus do not have access to locally grown nutritious foods. In an attempt to improve Aboriginal health, the Government of Canada has implemented the Food Mail Program which increases the affordability of, and access to, nutritious foods and promotes healthy eating among that population. The Food Mail Program attempts to increase access to healthy foods for those in isolated communities in the North by subsidizing the cost of food transport. To date, however, the program has produced mixed results. All stakeholders involved with the program agree that it does provide value and that it serves an important function. However, several changes must be made for the program to reach its objectives. The present case illustrates the significant challenges faced when attempting to change established consumption behaviors and the difficulties of focusing primarily on the supply side of the issue.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.017 | 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