Implementing sustainability production techniques and landscape management at the UBC Farm
Bibliographic record
Abstract
The use of plastics in agriculture, or plasticulture, is a comparatively recent phenomenon, with numerous associated benefits and is used globally to enhance agricultural production. Despite the production benefits of agricultural plastics, sustainable waste management is a considerable challenge, but an important goal for the UBC farm. The objectives of this project were to determine the primary plastics used in agriculture, to establish the main issues concerning the management of plastic waste, and to identify potential alternatives and solutions regarding these challenges. To fulfill these goals, a thorough literature search was conducted, as well as extensive communication with various people affiliated with the recycling industry. The plastics primarily used at the UBC farm include drip tape, plastic mulch, and greenhouse films. It was determined that there are several waste management alternatives for these plastics that are commonly implemented in agriculture, including biodegradable plastics, incineration, and recycling. Recycling was identified as potentially being the most environmentally sustainable alternative to plastic waste management. However, due to a poor market for recycled products and a general reluctance by the recycling industry to refine agricultural plastics, recycling is not a plausible alternative at this time. More research and an initiation of open communication between the agricultural and recycling sectors is necessary to make recycling feasible for everyone involved. 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".