Food Banks and Food Security: Welfare Reform, Human Rights and Social Policy. Lessons from Canada?
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
In the past twenty years food banks have established themselves as one of the fastest–growing charitable industries in first world societies. As institutionalized centres or clearing houses for the redistribution of donated and surplus food they have emerged as a key frontline response to the growing problem of food poverty and inequality. As welfare states have been restructured and cut back and basic entitlements have been denied, food banks have become secondary extensions of weakened social safety nets. This paper explores the growth of food banking in Canada and analyses its role in terms of advancing the human right to food, its effectiveness in achieving food security and the extent to which it contributes to, and/or counters the increasing emphasis by governments on welfare reform policies informed by neo–conservative ideology. Food banks are examined from the perspective of their origins and purposes, institutionalization, usage, food distributed and effectiveness. The rise of food banks in Canada is concrete evidence both of the breakdown of the social safety net and the commodification of social assistance. As such, they undermine the state’s obligation, as ratified in international conventions, to respect, protect and fulfil the human right to food. They enable governments to look the other way and neglect food poverty and nutritional health and well–being. A possible future role for food banks in countries where they are already established lies in public education and advocacy, but their institutionalization makes this seem an unlikely course. In countries where they are in their infancy, the question of whether to support their development should be a matter of urgent public debate.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 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