Feasibility of supplying a food conference with local foods from UBC Farm : the feasibility of re-localizing UBC's Food System
Bibliographic record
Abstract
This paper is part of a five-year study, now at the end of its fourth year, of an ongoing collaborative project entitled The Sustainability of the UBC Food System. Research for the UBC Food System project is conducted by the students of Agricultural Sciences 450: Land, Food & Community, at the University of British Columbia. The purpose of the study is to assess the sustainability of the food system at UBC and explore integrative actions to relocalize the UBC foodshed. Our group focuses on strengthing the link between two of the major UBC stakeholders: AMS Food and Beverage Department and the UBC Farm. Nancy Toogood, the AMS Food and Beverage Department manager, has utilized the UBC Food Systems Project to engage our group in the organization of a local food conference using Vancouver food distributors, including the UBC Farm. Our research team contacted four food distributors to aid in the design of our conference menus. We were able to evaluate the financial feasibility of holding the conference for the Community Food Security Coalition (CFSC) in August 2006. The production capabilities of the UBC Farm were also assessed and a potential growing contract was designed for the onion, garlic, and carrot quantities needed in our menu plans. It was determined that the number of local items on our conference menu has potential for growth. The ameoba food system sustainability model, (designed by the past partners in this UBC Food System Project), can be successfully utilized by the stakeholder parties interested in the locality of our proposed food conference. A continued dedication of the AMS Food and Beverage Department to incorporate locally produced foods, especially those grown on the UBC Farm, will ensure progress in the transition to a more sustainable UBC foodshed. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”
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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 | 0.021 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".