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Enregistrement W2992201974

Secondhand Is First-Rate: Don't Be Deterred by the Stigma of Buying Used. Refurbished Computers Can Offer Better Value and Performance Than New Units, While Lessening IT's Environmental Footprint

2010· article· en· W2992201974 sur OpenAlexaboutno aff
Jennifer Demski

Notice bibliographique

RevueT.H.E. Journal Technological Horizons in Education · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueGreen IT and Sustainability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEngineeringFactory (object-oriented programming)Life-cycle assessmentEcological footprintProduct (mathematics)Operations managementProduction (economics)Computer scienceSustainabilityEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

CONSIDER THIS: BEFORE YOU PRESS the power button a brand-new computer for the first time, it has already used almost i percent of the energy it will consume over its lifetime. Eric Williams, an assistant professor at the Center for Earth Systems Engineering Management at Arizona State University, has been researching life cycle assessments of IT machines since 2000. Life cycle assessments measure the total environmental impact of a product or service, from the resources used in its manufacturing to the energy consumed during its intended operation, all the way through to the method of its disposal. you do a life cycle assessment of an automobile, Williams says, what you'll find is that 95 percent of the energy consumed will be from driving it. other 5 percent will be in the manufacturing--the steel, the plastic, the different parts that need to be made assembled. So gas mileage is going to be a huge factor in how environmentally friendly it is. Computers operate differently, Williams explains. require a far more intensive process in the manufacturing stage. Part of this is due to the high-tech components scrupulous environmental conditions required to build one. Anything that gets near semiconductors microprocessor chips has to be immaculate. It takes energy, chemicals, processing to make the chemicals, gasses, water that touch the unit that pure, Williams says, and to keep them that pure. [ILLUSTRATION OMITTED] you've ever seen the Intel commercials where the workers are wearing clean suits dancing around in a mock factory setting, you should know that those clean suits aren't worn to protect the workers, but to protect the product from the workers. Williams says research shows that the care put into this manufacturing phase accounts for 70 to 80 percent of a computer's energy use over its life cycle. You could, like buying a car with better gas mileage, try to buy an Energy Star Williams says. The problem is, that only addresses 20 to 30 percent of the computer's energy consumption, you haven't done anything to address that larger 70 to 80 percent of consumption that occurs during manufacturing. If you take the strategy of extending the life of the computer--instead of buying a new computer, buy a used one--then you've eliminated the need to manufacture that new computer, at least for a while. energy savings are significant. idea of reusing a computer may bring to mind struggling with a dusty old Commodore 64 that's bogged down by the previous user's data. But that association no longer sticks. Saar Pikar, senior vice president general manager of Ontario, Canada-based CDI Computers, one of the largest providers of refurbished computers to the education market, sold more than 300,000 refurbished computers to school districts in the US, Canada, the UK in 2009 alone. The computers that we sell are usually between six 24 months old, Pikar says. They come from more than 250 sources--leasing brokers, original manufacturers, large Fortune 500 companies. have a lot of life left in them. When a computer arrives at CDI, it is put through a 26-step process during which a team of certified technicians cleans the data from its hard drive, cleans the hardware, removes all stickers identifying marks from the previous owner, then tests audits the unit. Any issues that arise are immediately fixed, bringing the computer back up to its initial factory specifications. Once sold, the unit is returned to the assembly line, where the hardware is again cleaned then upgraded to the specs requested by the customer--at an extra charge, Pikar says, only if those specs require more hardware. Most schools that work with us in the US give us a full software image of their existing computers, Pikar says. We load that image onto the new unit, so when they receive it they just have to plug it in off they go. …

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)0,007
score de la tête « metaresearch » (Gemma)0,046
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,092
Score d'incertitude au seuil0,307

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,046
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0120,014
Communication savante0,0130,023
Science ouverte0,0020,010
Intégrité de la recherche0,0130,022
Charge utile insuffisante (le modèle a refusé de juger)0,0920,101

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 Opus0,012
Tête enseignante GPT0,213
Écart entre enseignants0,201 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2010
Routes d'admission1
Résumé présentoui

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