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Record W7134418867

UBC Food System Project (UBCFSP) : scenario 1

2005· report· en· W7134418867 on OpenAlexaff
Kimberly Steele, Matt Beck, Ada Ho, Tiffany Yeh, Garven Lee, Luke Chu, Jeff Nimmo

Bibliographic record

VenuecIRcle (University of British Columbia) · 2005
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSample (material)PopulationSurvey samplingQuality (philosophy)SustainabilityClass (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

The University of British Columbia Food Systems Project has been developed to increase the sustainability of the UBC food system. One of the main objectives of this project is the re-localization of the food system. Therefore, our task in 2005 was to develop a survey that determines 1) whether or not, and to what extent, the University of British Columbia’s population is willing to buy local foods and 2) if a high interest is indicated to purchase local foods, whether or not the UBC’s population is willing to pay more for it. This is an important aspect of determining how to proceed with re-localization of the food system. A draft survey was developed from sample questions provided by previous AgSci 450 and Sauder School of Business students as well as discussions within our group. The original survey was submitted to the 2005 AgSci 450 class for suggestions and completion. Based on their responses, the questionnaire was revised again and used to survey a small sample population across campus and again the AgSci 450 class. Often the answers received from the AgSci 450 class were slightly different from the small sample population across campus. This enforced the importance of testing the draft survey on a small sample of the perspective population when developing a quality survey. The results were then used to further evaluate the questionnaire and develop suggestions for the 2006 AgSci 450 class. 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)0.003
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: none
Teacher disagreement score0.515
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0230.005

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 head0.211
Teacher spread0.186 · 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
Published2005
Admission routes1
Has abstractyes

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