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Record W7134633225

The University of British Columbia Food Systems Project

2007· report· en· W7134633225 on OpenAlexaffabout
Christa Allason, Byron Ramsey, Elaine Cheng, Michelle Lau, Nicola Tole, Brite Zou

Bibliographic record

VenuecIRcle (University of British Columbia) · 2007
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsResidencePopulationWork (physics)University campus
DOInot available

Abstract

fetched live from OpenAlex

Acadia and University Apartments of the University of British Columbia (UBC) are home to some 800 families. Each month there is a heavy influx and efflux of families due to the temporary nature of the housing. As a result, it’s difficult to ensure composting awareness and practice remains steady among residents. To increase awareness of composting at UBC, and specifically in the Acadia Family Residences and University Apartments, we designed an informational article about composting, a survey for the residents of Acadia to evaluate their composting awareness and habits, and a children’s activity page. The adult information page, the survey, and the children’s activity page were added to the April edition of Acadia’s monthly newsletter and distributed April 1st, 2007. Upon return of our surveys (April 8th, 2007), it was determined that the majority of the residents were interested in improving composting practices in their residence. We collaborated with Carol Young, the Residence Life Manager at Acadia Family Housing, to provide practical solutions to increase the awareness and incidence of composting at this housing unit. We would recommend that upcoming students continue to strengthen this relationship and work together with Ms. Young to further facilitate composting at Acadia and University Apartments. We believe this is a relatively untapped population that can aid in increasing composting and decreasing waste at the University of British Columbia. 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)0.002
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.001
Scholarly communication0.0060.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0570.007

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 head0.022
GPT teacher head0.204
Teacher spread0.182 · 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
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 routes2
Has abstractyes

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