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Record W7134776219

UBC Food Systems Project (UBCFSP) : scenario 7

2004· report· en· W7134776219 on OpenAlexaff
Sara Harrison, Andria Lam, Cristina M. Machial, Lena D. Syrovy, Diana Trang

Bibliographic record

VenuecIRcle (University of British Columbia) · 2004
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSustainabilityNothingComponent (thermodynamics)Government (linguistics)Sustainable development
DOInot available

Abstract

fetched live from OpenAlex

Assessing the current levels of customer awareness of and participation in sustainability initiatives on the UBC campus is an important component of determining UBC’s progress to becoming a more sustainable campus. This is even more important considering that even the best initiatives will do nothing to improve sustainability if no one is using them. Accordingly, we have expanded on a model to assess sustainability, performed research to determine what initiatives are currently in place, both at UBC and at other universities and colleges, and developed a survey to be used next year to actually assess current awareness and participation levels in present initiatives. Among some of the current initiatives in place are programs to encourage the use of reusable containers and cutlery, composting education and systems, and recycling (including recycling cooking oil to create Bio-diesel). The survey and other information provided can also be used to assess the feasibility of creating future sustainability initiatives, including the feasibility of introducing a ‘Food Week,’ and a more extensive composting program. 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: Other · Consensus signal: Other
Teacher disagreement score0.924
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0240.005

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 head0.028
GPT teacher head0.214
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
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
Published2004
Admission routes1
Has abstractyes

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