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Record W7139409713

UBC Food Systems Project (UBCFSP) : scenario 2

2007· report· en· W7139409713 on OpenAlexaff
Edith Chan, Ailyn Go, Joanna Kwan, Linlin Nie, Jessie Tai, Tracy Wong

Bibliographic record

VenuecIRcle (University of British Columbia) · 2007
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAgoraSustainabilityVariety (cybernetics)Order (exchange)Linkage (software)
DOInot available

Abstract

fetched live from OpenAlex

The UBC Food System Project (UBCFSP) is an ongoing project that aims to introduce changes and improve the sustainability of the UBC Food System. The goal of Group 25 was to investigate and strengthen the relationship between UBC Farm and Agora Café. Currently UBC Farm is not a major supplier of Agora Cafe, despite its location proximity to the Macmillan community and its affiliations with the FLFS. In order to design ways to increase supply from UBC Farm to Agora Cafe, surveys were conducted using Community-based Action Research (CBAR) mode to determine current opinions regarding Agora Café and food preferences of Agora customers. The major finding of the survey was that there is a relatively weak linkage between Agora Café and the Macmillan community due to the limited selection of food. Further research showed that currently UBC Farm is not producing enough variety to support the demands of Agora customers. Based on suggestions from previous papers and newer findings, the possibility of a root cellar for UBC Farm was investigated and sample recipes and menus for Agora Café were also created. Additionally, marketing and educational strategies were designed to increase awareness of Agora Café. Lastly, recommendations were suggested to help further strengthen the relationship between UBC Farm and Agora Café. 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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0030.003
Open science0.0020.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0230.003

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.

Opus teacher head0.033
GPT teacher head0.226
Teacher spread0.193 · 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 designSimulation or modeling
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
Published2007
Admission routes1
Has abstractyes

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