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Record W7139149969

UBC Food Systems Project (UBCFSP)

2008· report· en· W7139149969 on OpenAlexaff
Catharine Edwards, Neil Chen, Teresa Au-Yeung, Roger Wood, Vicki Lee, E. Y. H. Kao

Bibliographic record

VenuecIRcle (University of British Columbia) · 2008
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSustainabilityProcurementFood serviceFocus groupFood systemsService (business)Consumption (sociology)
DOInot available

Abstract

fetched live from OpenAlex

Community based action research was conducted to determine strategies for the Alma Mater Society (AMS) Food Service Department to procure their food in a more sustainable manner, in order to reduce their ecological footprint. Interviews were conducted with relevant stakeholders, including the AMS Food and Beverage Department (AMSFBD) Manager, and representatives from their main produce supplier, Central Foods. Literature searches were conducted on sustainability initiatives by other universities, UBC policies were obtained, and food procurement lists were obtained from the AMS. Surveys were also conducted on students to determine their awareness of sustainability initiatives, and their food consumption patterns at the Student Union Building. The focus was narrowed down to the procurement of seasonal local produce during the winter months from November to March, with a specific focus on cucumbers, carrots, broccoli, tomatoes, mushrooms, peppers, onions, and potatoes, which are common items used by AMSFBD outlets. The results showed that of these items, the only BC grown ones used by AMSFBD outlets in the winter are red small potatoes, and mushrooms; however, Central Foods is willing to source any items that the AMS requests. Our results also indicate that although student awareness of AMS sustainability initiatives is low, they would support a one-time price increase of between $0.25 and $0.50 to account for future sustainability initiatives. It is our recommendation that the AMS increase their communication with their suppliers, increase marketing initiatives to build student awareness, and conduct formal marketing research that can be statistically analyzed to assess a price increase that will be accepted by UBC students. 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.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.001
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0990.012

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.

Opus teacher head0.032
GPT teacher head0.213
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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