Addressing Household Food Insecurity in Canada – Position Statement and Recommendations – Dietitians of Canada
Bibliographic record
Abstract
POSITION STATEMENT It is the position of Dietitians of Canada that household food insecurity is a serious public health issue with profound effects on physical and mental health and social well-being. All households in Canada must have sufficient income for secure access to nutritious food after paying for other basic necessities. Given the alarming prevalence, severity and impact of household food insecurity in Canada, Dietitians of Canada calls for a pan-Canadian, government-led strategy to specifically reduce food insecurity at the household level, including policies that address the unique challenges of household food insecurity among Indigenous Peoples. Regular monitoring of the prevalence and severity of household food insecurity across all of Canada is required. Research must continue to address gaps in knowledge about household vulnerability to food insecurity and to evaluate the impact of policies developed to eliminate household food insecurity in Canada. Dietitians of Canada recommends: Development and implementation of a pan-Canadian government-led strategy that includes coordinated policies and programs, to ensure all households have consistent and sufficient income to be able to pay for basic needs, including food. Implementation of a federally-supported strategy to comprehensively address the additional and unique challenges related to household food insecurity among Indigenous Peoples, including assurance of food sovereignty, with access to lands and resources, for acquiring traditional/country foods, as well as improved access to more affordable and healthy store-bought/market foods in First Nation reserves and northern and remote communities. Commitment to mandatory, annual monitoring and reporting of the prevalence of marginal, moderate and severe household food insecurity in each province and territory across Canada, including among vulnerable populations, as well as regular evaluation of the impact of poverty reduction and protocols for screening within the health care system. Support for continued research to address gaps in knowledge about populations experiencing greater prevalence and severity of household food insecurity and to inform the implementation and evaluation of strategies and policies that will eliminate household food insecurity in Canada.
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.
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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".