Bibliographic record
Abstract
The COVID-19 pandemic has left no area of human life unaffected and the food system in its global, regional, or micro manifestations is not an exception. The images of empty store shelves caused by lockdowns stirred a lot of anxiety among consumers in the so-called First World. At the same time, thousands of miles away, in the developing and underdeveloped countries, where having a meal is never taken for granted, people suffered the harshest consequences of any pandemic-related instability in the food system. Both these realities deserve intellectual reflection, with the former being far more intricate than its media portrayals and therefore will be explored further in this work. This paper aims to study the COVID-19 impact on food systems in developed countries such as the United States and Canada, as well as the challenges to the food security they face during the pandemic. It offers a top-down approach, starting with the definition of food security, and highlighting some crucial aspects of food access and food availability, which has been compromised by the spread of coronavirus in the two countries. Detailed analysis of responses to the pandemic-related food security problems in both countries will be offered as well. The right to food is presented here as a human right, and the links between that right and the concept of food security are brought out. The pandemic wreaked havoc on food security in many parts of the world, including the affluent, but at the same time revealed its fragility and the need for continuous monitoring, re-assessment, and improvement through more effective food programs. The emerging sliver of hope for a more just postpandemic food system should not be ignored.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".