Tackling household food insecurity: An essential goal of a national food policy
Bibliographic record
Abstract
Eradicating household food insecurity is essential to the articulated vision of a national food policy that aims to promote healthy living and safe food for families across the country. Household food insecurity refers to the insecure or inadequate access to food due to financial constraints. Despite federal commitments to improve the situation, food insecurity in Canada increased between 2007-08 and 2011-12. It currently affects more than four million Canadians, and is particularly grave in Indigenous communities. Food insecurity takes a toll on individuals’ health and well-being, and it is a burden on our healthcare system. The social epidemiology of household food insecurity shows it to be inextricably linked to the social and economic circumstances of households. Federal and provincial policy interventions that improve the financial circumstances of very low income households have yielded reductions of up to 50 percent in household food insecurity prevalence and severity. Yet, prevalence rates remain high. A national food policy represents an invaluable opportunity to address food insecurity in Canada. To do so, this policy must transcend the conventional boundaries of agriculture and agri-food. Addressing food insecurity requires the integration of policy actions across the three levels of government. In addition, performance targets must be established, and ongoing monitoring and evaluation mechanisms implemented, to ensure that policies and programs meant to address food insecurity actually have a meaningful impact.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".