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Record W2270813268 · doi:10.14288/1.0108714

A 'fresh' image for The Barn : incorporating local and seasonal foods into campus menus

2014· article· en· W2270813268 on OpenAlexaboutno aff
Alexandra de Jong Westman, Cynthia Bendickson, Linda H. Poon, Queeny Shuk Shan Lo, Wen Chuan Zhou

Bibliographic record

VenueOpen Collections · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBarnGeography

Abstract

fetched live from OpenAlex

Students, staff, and faculty at the University of British Columbia have access to a wide variety of foodstuffs throughout campus because of the food service outlets provided by the Alma Mater Society and UBC Food Services. Most of these food service outlets are representative of the global food system, where economic sustainability is of the utmost consequence, and the importance of social and environmental sustainability is lost. Much of the food on campus has traveled many miles from where it was originally grown, causing negative environmental and social impacts in BC. To improve the sustainability of any food system, there needs to be an increase in the amount of local and seasonal foods represented in it, thereby reversing global trends and accruing positive environmental and social impacts. The goal of Group 8 was to establish the feasibility of integrating local and seasonal foods into UBC Food Service outlets, specifically The Barn Coffee Shop. The Barn was chosen as a demonstration of the possibilities of local and seasonal foods because of several factors: proximity to the Faculty of Land and Food Systems building, its presence on “Sustainability Street,” and the high proportion of staff and faculty patrons. Previous research determined that much of the soil-grown food purchased by UBC Food Services comes from outside of Canada; however, much of this produce is presently being grown within BC. Based on previous years’ research, the availability of seasonal produce was established, and our group devised menu items that incorporated these foodstuffs. 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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