Exploring Food Hubs as a vehicle for building resilient local food systems
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
Food systems around the world face unprecedented threats from climate change to global distribution and supply chain issues. At the local level challenges range from the accessibility and affordability of local food to limited capacity for production, aggregation, and distribution. These challenges can be particularly acute in rural, remote, and northern communities. In the face of these threats and challenges, alternative food networks are emerging as an opportunity to build more resilient, inclusive, and sustainable local food systems. Across British Columbia, community food hubs have emerged as one form of alternative food networks. This presentation will summarize the first year of a project exploring the role(s) that food hubs play within local food systems, investigating BC’s unique approach to food hubs and if and how food hubs contribute to food system resilience. Findings will include emerging patterns and trends from a provincial food hub community of practice, as well as an in-depth exploration of two case study regions - the Kootenays and Kamloops regions. While the research is taking place within British Columbia, the presentation will include food hub examples from other jurisdictions, and a discussion focused on potential applicability and transferability of findings to remote and northern communities.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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