Bibliographic record
Abstract
This chapter examines means to move forward to address food insecurity in Canada and the UK. It makes explicit the links between the public policy sources of food insecurity and means of responding. By documenting the barriers to addressing food insecurity it also considers a range of options to surmount them. The limitations of providing food through charitable giving as the primary response to food insecurity will be highlighted. Instead, it will be suggested that a political economy approach to the solution of food insecurity, calling for the balancing of power and influence in the society in the service of providing an equitable distribution of resources to the population, provides the best means to reduce food insecurity. Considering how the recommendations of food security advocates are going unheeded, it may be necessary to reform or transform the economic system of capitalism which so distorts the distribution of resources in Canada and the UK as to create food insecurity. The chapter concludes by providing how public policy can address food insecurity in Canada and the UK.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".