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Enregistrement W7134505143

Triple bottom line assessment on low-flow shower heads

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

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2014
Typereport
Langueen
Domaine
Thématique
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésShowerResidenceTest (biology)Line (geometry)Point (geometry)Phase (matter)Head (geology)
DOInon disponible

Résumé

récupéré en direct d'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.”

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,036
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil0,068

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,036
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0200,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,237
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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