Agora
Bibliographic record
Abstract
As part of our contribution to “The Sustainability of the UBC Food System Collaborative Project”, we have collectively examined our value assumptions to formulate a vision and define the meaning of sustainability in terms of the UBC food system. In addition to adapting the models of last year, to better conceptualize our vision, our group developed a Sustain-OThermometer. This model is used to measure the indicators we developed for the social, ecological, and economic aspects of sustainability, and can be used to assess the current situation at UBC, and more specifically our scenario: Agora. For each indicator we developed methods or instruments for data collection. We, as a group, examined the current state of Agora, and focused on 3 specific tasks: 1) assess the operation requirements and limitations resulting from regulatory legislation, logistical restrictions and human resource and labor relations issues; 2) propose a plan for forms of collaboration and possible contractual arrangements with local producers and suppliers, including UBC Farm and UBC Natural Food Co-op; and 3) assess the feasibility and desirability of a business/mentor relationship between the new Agora and UBC food services. Upon doing so, we have explored solutions for Agora in reference to the three components: social, ecological and economic. Lastly, these we proposed recommendations to the various stakeholders involved with Agora so as to initiate a transition towards realistic sustainability. 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.356 | 0.169 |
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".