Power Imbalances, Food Insecurity, and Children’s Rights in Canada
Bibliographic record
Abstract
Increasingly, food is provided through an industrial food system that separates people from the source of their food and results in high rates of food insecurity, particularly for the most vulnerable in society. A lack of food is a symptom of a lack of power in a system that privileges free market principles over social justice and the protection of human rights. In Canada, the high rates of food insecurity among Canadian children is a reflection of their lack of power and the disregard of their human rights, despite the adoption of the United Nations (UN) Convention on the Rights of the Child in 1991 and ratification of the International Covenant on Social, Economic and Cultural Rights in 1976, which established the right to food for all Canadians. Dueling tensions between human rights and market forces underpin this unacceptable state of affairs in Canada. Gaventa's "power cube" that describes different facets of power - including spaces, levels, and forms - is used to help understand the power imbalances that underlie this injustice. The analysis considers the impact of neoliberal free market principles on the realization of human rights, and the negative impacts this can have on health and well-being for the most vulnerable in society. Canadian case studies from both community organizations provide examples of how power can be shifted to achieve more inclusive, rights-based policy and action. Given increased global pressures toward more open trade markets and national austerity measures that hollow out social supports, Canada provides a cautionary tale for countries in the EU and the US, and for overall approaches to protect the most vulnerable in society.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".