UBC Food Systems Project (UBCFSP) : scenario 4
Bibliographic record
Abstract
Our group has designed an educational campaign that aims to increase consumption of local food in the UBC community. Local food is defined as any produce grown within BC. The slogan for our campaign is “eat thoughtfully, think locally” and this message conveys the significance of making wise food choices and choosing local foods. The education campaign consists of two components, a continuous marketing campaign and a concentrated three-day “Food Week” event. A variety of promotional tools have been designed for this campaign, including magnets, pamphlets, posters and a webpage. The Food Week event will take place in the SUB to reach a diverse population of the UBC community. The first part of the Food Week event will showcase the local food available on campus and in the surrounding Vancouver area. The wrap-up event for the week will be a Local Wine Festival, which offers a sampling of locally produced wines and appetizers. We recommend that the 2007 AGSC 450 class find greater funding support to expand the campaign and critically evaluate the effectiveness of these events. Through our campaign, we hope to generate an interest and awareness among consumers on the UBC campus for eating local. Our group believes that being successful in educating the UBC community to make wise decisions regarding their food choices is the core solution to many unsustainable practices seen on campus. Furthermore, the efforts made to change practices at UBC can serve as a model for other communities to do the same. 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.007 |
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".