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Record W3197333396 · doi:10.14288/1.0392732

Nitrile Glove Recycling Assessment

2020· article· en· W3197333396 on OpenAlexaboutno aff
Simonne Mikolay, Felice Chen, Martina Gershon, Tala Khalil, J. A. Riddell, Julie Youjin Jung

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsNitrileComputer scienceChemistry

Abstract

fetched live from OpenAlex

The UBC Zero Waste Action Plan has a target of 80% diversion by 2020 and ongoing reductions in the amount of waste sent to the landfill each year thereafter. Currently. Seven million nitrile gloves are discarded annually across campus, amounting to 28 tonnes spread across 26 labs. These millions of nitrile gloves make up 30% of the campus’ lab plastics that are sent to the landfill and 1% of the university’s overall waste. The Kimberly-Clark recycling program provides a potential mitigation pathway. This was the basis for the year-long pilot program at the Centre for Comparative Medicine (CCM), which began in June 2019. This report is intended to analyze the pilot program and provide a recommendation on its campus wide expansion with the functional unit of one year worth of gloves. The Kimberly-Clark recycling program is a viable solution, but only for their brand of gloves. Once a glove is used, it is disposed in a separate container and collected for recycling. The closest recycling plant to UBC Vancouver is located in Edmonton and it is the customer’s responsibility to organize and pay for shipping. Once there, the glove is recycled using a confidential process into products that would have otherwise been made with High Density Polyethylene, such as trash bins, park benches, and lawn furniture. First the financial viability was analyzed. The capital costs are negligible as it is recommended to use existing resources. With data from VWR regarding the different unit prices of gloves that are currently purchased at UBC, it was calculated that the annual price for the functional unit would be between $400 thousand to $1.2 million, for low and moderate quality gloves respectively. The equivalent amount of Kimberly-Clark gloves would cost $525 thousand. The base case landfill costs for the six required trips, including shipping and dumping, is $4,100. The shipping cost for recycling is $19,000, which would be divided into how every many trips are needed. Large collection boxes would also be required for each lab which will cost $860, given that a new box is purchased for each of the three recommended shipments. Ultimately, savings are incurred if the campus currently purchases 18% moderate quality gloves and 82% low quality gloves and replaces them all with Kimberly-Clark Brand. Then the environmental impact was analyzed. The shipping emissions for three trips to Edmonton is 3.8 tonnes of CO2e, as compared to 1.8 tonnes of CO2e emitted by the six trips to the landfill. But this is offset by the carbon credit provided by recycling materials and maintain the circular economy. Recycling the 28 tonnes of gloves (with 95% efficiency) emits 9 tonnes of CO2e. This is then compared to producing the same amount of plastic with virgin materials, which would emit 42 tonnes of CO2e. From these numbers, it is clear that there are extensive environmental savings by using the Kimberly-Clark recycling program instead of sending the gloves to the landfill. Finally, the workflow for CCM was analyzed to provide a recommendation for the expansion. CCM has two sustainability coordinators that are integral in the success of the project. This position should be created at each of the 26 labs. There are small glove collection bins in each of the lab rooms that are merged into a larger bin the hallway on a need-be basis. Then, every two weeks the sustainability coordinators bring all of these gloves to the gaylord box in their garage. This 1m3 box held nearly a year’s worth of gloves. The same workflow is recommended for labs across campus, but ultimately each lab will have to determine if that is possible with their respective safety measures and workforce. Feedback from other instructions who started this program was positive. The program appears to be manageable, and with proper transportation logistics, and enough funding, it is a guaranteed success. 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.186
Teacher spread0.176 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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