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CBP : UBC SEEDS

2018· article· en· W7003448025 sur OpenAlexaboutno aff

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2018
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMunicipal Solid Waste Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDispose patternGarbageOrder (exchange)LimitingWork (physics)Municipal solid wasteZero wasteWaste collectionWaste disposalConstruction waste
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The University of British Columbia (UBC) has been one of the leaders in sustainable
\npractices on university campuses across Canada. Over the past few years, UBC has been working
\ntowards becoming a zero waste campus. One of the most limiting factors that is working against
\nthe overarching goal of becoming zero waste, is the fee structure that is currently in use for
\nancillary buildings hosted on campus. The fee structure charges ancillary buildings less for
\ndisposing of their garbage waste stream, than their organics waste stream. This provides an internal
\nincentive for buildings to dispose of more garbage than organics to minimize their bottom line. In
\norder to eliminate this disincentive program, the fee structure needs to be reevaluated. It is essential
\nto focus on industry best practices before introducing a new fee structure on UBC campus, because
\nancillary buildings are able to opt out of UBC waste management in order to use a private waste
\ndisposal company.
\nThere are a number of cities and university campuses who have set applicable precedent
\nwhen it comes to waste management practices, including the fee structures used in specific
\njurisdictions. San Francisco, Seattle, City of Vancouver, University of Western Ontario and the
\nUniversity of Victoria were all investigated in order to establish some industry best practices for
\nachieving zero waste. Within the municipalities, residential waste collection rates were analyzed
\nfor trends that would incentivize zero waste practices. San Francisco has in place a discounting
\nmodel that offers a decrease in rates for customers with a higher waste diversion rate, which has
\nproven to be effective. Seattle offers discounts for bulk waste disposal of each of their waste
\nstreams, with the exception of recycling which is free pickups for residents. The City of Vancouver
\n– including Burnaby – has limited garbage disposal to a biweekly pickup schedule, while
\nmaintaining their weekly organics and recycling pickups. Universities have introduced a number
\nof educational programs on campuses to encourage students to take an active role in waste
\nmanagement on campus.
\nThe new model proposes offering a discount to buildings that have higher waste diversion
\nrates, based on the size of the bins of different streams of waste. In order to effectively introduce
\nthis strategy, more metrics should be measured in monthly waste audits. The introduction of
\nbarcodes on waste disposal bins should allow for measures of each waste stream to be simple and
\ninexpensive, as only scanning and tracking technology would need to be purchased. As well, there
\nwill be an immediate decrease in garbage pickups, inspired by Vancouver and Burnaby reducing
\nthe garbage pickups to a biweekly manner. Thirdly, fines for high rates of contamination should
\nbe introduced, especially for that of contaminated organics bins. The combination of the above
\nthree processes should advance the movement of UBC campus towards zero waste.
\nMoving forwards, it is essential to recognize that the industrial composting machinery is
\nreaching the end of its life. In order to replace the machine, research must be conducted to ensure
\nthat UBC purchases the most efficient industrial composter. As well, more educational
\nprogramming should be rolled out to the primary waste sorters on campus – the students – in order to increase the waste diversion rate and decrease the contamination in all the waste streams. 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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,910
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,008
Tête enseignante GPT0,171
Écart entre enseignants0,163 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2018
Routes d'admission1
Résumé présentoui

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