UBC Food System Project (UBCFSP) : scenario 5
Bibliographic record
Abstract
The University of British Columbia Food System Project (UBCFSP) is an ongoing collaborative effort between AGSC 450 students, project collaborators and partners to build a more sustainable food system at UBC. The focus of scenario five was to expand the LFS Garden to the west side of the MacMillan building. The expansion was purposed to further enhance small scale organic production; provide food in the LFS community; and provide opportunities for hands on interdisciplinary learning. The group reviewed literature of previous AGSC 450 reports and communicated with project stakeholders, including Martin Hilmer, Jeff Nulty, Megan Halstead, Pearl Yip, Sophia Bake-French, Nick Gallant, Dr. Art Bomke, and Dr. Gwen Chapman. Through consultations, the group devised a business proposal that would be helpful for the development of LFS Garden which focused on: signage and communication; garden management; garden layout; composting; production, harvesting and distribution plan; budget and supply list; and education opportunities. The group also found that the LFS Garden had a potential to be implemented into education such as in Agroecology courses. In addition, the group has created garden management committed which includes Art Bomke, Martin Hilmer and Liska Richer. For the garden manager, all scenario 5 groups agreed to formulate an email that was sent out to all students in the faculty to attract students to the position. Furthermore, the group designed the garden layout that followed the concerns of community stakeholders, while utilizing creativity and imagination to create a garden that is a beautiful social space that is also sustainable. The project concludes with prioritizing the next steps towards implementation of the proposals. 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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".