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Record W7134505143

Triple bottom line assessment on low-flow shower heads

2014· report· en· W7134505143 on OpenAlexaff
W K Fung, Steven Nowicki, Joshua Baker, Oliver Liu

Bibliographic record

VenuecIRcle (University of British Columbia) · 2014
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsShowerResidenceTest (biology)Line (geometry)Point (geometry)Phase (matter)Head (geology)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this report is to review the phase 1 report’s findings, and expand on their results and methodologies. The report determines user satisfaction from the assigned residence (Marine Drive Residence), and determines a suitable low-flow showerhead replacement based on price point, previous studies, technical specifications, and a triple bottom line (TBL) assessment. Based on the phase 1 report, the recommended showerheads did not satisfy the price point of $35. Unfortunately, this meant that their decision had to be disregarded in our research. Our team chose two shower heads: WaterPik ETC-411 and Pfister 015-LC0C. The WaterPik, priced at $15.77 during the time of this report, has a Watersense certification, a gallon per minute (GPM) of 1.6, four spray patterns, a swivel feature, and a limited lifetime warranty. The Pfister has a GPM of 1.5, three spray patterns, a self cleaning nozzle, and a lifetime warranty. The showerhead is priced at $28.06 during the writing of this report. During the shower head selection process, our TBL assessment was incomplete due to the fact that the social aspect of the assessment requires a user satisfaction survey. The phase 1 report had their showerheads tested out in fraternities. Our team believed that the results were heavily biased towards the male population, and could affect the overall results. Our test locations were chosen at the sites where they will be installed in the future. We were assigned to the Marine Drive residence with four test locations. During the installation of the showerhead, the technicians reported the WaterPik to have the best build quality, the best spray pattern, and an install time of seven minutes. The Pfister was reported to have bad build quality, fear of cracking during adjustment, installation, and a install time of five minutes. Each showerhead was given approximately seven days for the users to try. Afterwards, surveys were administered to the users. The users at the Marine Drive residence did not like the original showerhead. The main concerns were adjustability and pressure. The results concluded that the WaterPik netted the highest user satisfaction even though it netted a score of 3 out of 5 from the spray pattern and water pressure satisfaction. The Pfister was not well received even though the price of the showerhead is almost twice of the WaterPik, and performed even worse than the original showerhead. Based on our TBL assessment, we recommend the WaterPik ETC-411. It is an exceptional shower head with a very low cost. The Watersense certification allows us and the users to be confident that it really is eco-friendly. The build quality reported by the installation technicians lends confidence to the fact that it will have a long lifecycle. Most importantly, it achieved a perfect score for user satisfaction in our survey. It achieves a better spray and water pressure score than the original shower head despite having a very low GPM. The showerhead also has adjustable options such as angle of the nozzle head and 4 spray patterns. In our surveys, we also determined that the average user spends 55 minutes in the showers per week. This means only 88 gallons of water is used instead of the minimum 137 gallons that would be used on a non-low-flow showerhead, which equates to about 35% water savings. To take an extra step in conserving water, our group suggests users are educated on how to use the showerhead efficiently (setting the spray patterns, adjusting the nozzle angle). The stakeholders can also educate the tenants on the benefits of saving water, and install a water usage meter to inform users how much water they are using each shower session. 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)0.010
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.007

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 head0.019
GPT teacher head0.237
Teacher spread0.218 · 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 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
Published2014
Admission routes1
Has abstractyes

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