UBC Food System Project (UBCFSP) : scenario 7
Bibliographic record
Abstract
Scenario 7’s objective in the UBC Food System Project is to increase education, awareness, participation and effectiveness in composting on campus. In September 2004, the In-Vessel Composting Facility was created by UBCWaste Management (UBCWM) as a large-scale composting practice on campus. In the fall of 2006, UBCWM launched the organic waste composting program through collaboration with UBC Food Services (UBCFS) and Wastefree UBC. The goal of this research project was to conduct a critical review of the “Get Caught Composting Campaign” (GCCC), an initiative created by our former AGSC 450 colleagues from spring 2006, in order to evaluate its effectiveness and increase its awareness on campus. Through literature reviews, we found that the greatest challenges the In-Vessel Composting program has faced are lack of awareness and contamination of the compost bins; and that the most effective way to increase the awareness of the GCCC is through social marketing techniques. We conducted a thorough analysis of the campaign by campus awareness surveys to determine if people knew about the GCCC and how they felt about it, by volunteer questionnaires, and by data analysis of the Caught Composting 2007 Tally Sheet to find out how the campaign was actually implemented. Based on the information we obtained from the research, we found that there is still potential for the GCCC to be a successful initiative, and have thus created various recommendations for UBCWM, UBCFS, and future AGSC 450 colleagues to consider and apply in the future. 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 | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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".