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Enregistrement W605209623

Sustainable Preservation: Greening Existing Buildings

2010· book· en· W605209623 sur OpenAlexaboutno aff
Jean Carroon, Richard Moe

Notice bibliographique

RevueMedical Entomology and Zoology · 2010
Typebook
Langueen
DomaineArts and Humanities
ThématiqueCultural Heritage Management and Preservation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSustainabilityEngineeringSustainable communitySustainable developmentArchitectural engineeringPolitical scienceLawEcology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

FOREWORD ( Richard Moe). ACKNOWLEDGMENTS. PART 1: OVERVIEW. CHAPTER 1: BUILDINGS AND ENVIRONMENTAL STEWARDSHIP UNDERSTANDING THE ISSUES. 1.1 Climate Change and Buildings the Imperative. 1.2 Historically Green What Makes Existing Buildings Green. 1.3 Terminology of Evolving Green Design. 1.4 Rethinking Assumptions Holistic Design. 1.5 There Is No Finish Creating a Culture of Reuse, Repair, and Renewal. CASE STUDIES. People's Food Co-op, Portland, OR. Harris Center for Conservation Education, Hancock, NH. Trinity Church in the City of Boston, Boston, MA. U. S. Naval Academy Historic Academic Group, Annapolis, MD. Forbes Park, Chelsea, MA. CHAPTER 2: BUILDINGS AND SUSTAINABLE DEVELOPMENT UNDERSTANDING THE GOALS. 2.1 Sustainable Development versus Sustainable Design. 2.2 The Triple Bottom Line People, Planet, and Profit. 2.3 The Triple Bottom Line and Historic Preservation. 2.4 Regional/Community Connectivity. 2.5 Interwoven History of Sustainability and Historic Preservation. CASE STUDIES. CCI Center, Pittsburgh, PA. Center for Neighborhood Technology, Chicago, IL. Philadelphia Forensic Science Center, Philadelphia, PA. Brewers Hill (Natty Boh Building), Baltimore, MD. Denver Dry Building, Denver, CO. CHAPTER 3: TOOLS, GUIDELINES, AND PROCESS BALANCING THE GOALS. 3.1 Balancing Objective and Subjective Goals Integrated Design. 3.2 Green Tools and Metrics Urban and Campus. 3.3 Green Tools and Metrics Building and Site. 3.4 Historic Property Designation and Treatment Guidelines. 3.5 Balancing Systems and Guidelines Whole Building Design. CASE STUDIES. Whitaker Street Building, Savannah, GA. Alliance Center for Sustainable Colorado, Denver, CO. Thoreau Center for Sustainability, San Francisco, CA. Gerding Theater (Portland Center Stage), Portland, OR. Howard M. Metzenbaum U. S. Courthouse, Cleveland, OH. PART II: TARGETED RESOURCE CONSERVATION. CHAPTER 4: WATER AND SITE. 4.1 Water The Most Precious Commodity. 4.2 Watersheds, Stormwater, and Site Design. 4.3 Water and Energy Systems. 4,4 Water and Mechanical Systems. 4.5 Water and Sewage Systems. 4.6 Closing the Circle Reuse, Management, Education, Delight. CASE STUDIES. The Welcome and Admission Center at Roger H. Perry Hall, Champlain College, Burlington, VT. Chicago Center for Green Technology, Chicago, IL. Blackstone Station Offi ce Renovation, Harvard University, Cambridge, MA. Immaculate Heart of Mary Motherhouse, Monroe, MI. Lazarus Building, Columbus, OH. CHAPTER 5: ENERGY NOT THE ONLY, ISSUE BUT ... 5.1 Energy Overview. 5.2 Less Is More Avoided Impacts. 5.3 Reducing and Shifting Electrical Loads. 5.4 The Building Enclosure. 5.5 Avoiding Silos. CASE STUDIES. Cambridge City Hall Annex, Cambridge, MA. S.T. Dana Building, U. of Michigan, Ann Arbor, MI. Lion House, Bronx Zoo, Bronx, NY. Scowcroft Building, Ogden, UT. John W. McCormack Federal Building, Boston, MA. CHAPTER 6: INDOOR HEALTH LIGHT, AIR, AND HEALTH. 6.1 Indoor Air Pollution. 6.2 Air Quality and Ventilation. 6.3 Light and Connections to Nature. 6.4 Healthy Spaces and Productivity. 6.5 Renewal and Delight. CASE STUDIES. AIA Honolulu, Honolulu, HI. Boulder Associates Office, Boulder, CO. NRDC Southern California Office (Robert Redford Building), CA. Alberici Corporate Headquarters, Overland, MO. Montgomery Park Business Center, Baltimore, MD. CHAPTER 7: MATERIALS AND RESOURCES REDUCE, REPAIR, REUSE, RECYCLE. 7.1 Consumption and Waste A Throwaway Culture. 7.2 Diverting Waste Reuse, Recycle, Downcycle. 7.3 Identifying Better Products. 7.4 Resource Optimization Extending Service Life. 7.5 Changing Priorities Ahead Respecting both Past and Future. CASE STUDIES. StopWaste, Oakland, CA. The Barn at Fallingwater, Mill Run, PA. Pittsburgh Glass Center, Pittsburgh, PA. North Dakota State University School of Visual Arts & Architecture, Fargo, ND. Children's Museum of Pittsburgh Expansion, Pittsburgh, PA. PART III: OF SPECIAL NOTE. CHAPTER 8: BEST PRACTICES OPERATIONS, MAINTENANCE, AND CHANGE. 8.1 Opportunities Essential and Immediate. 8.2 Implementation Tools. 8.3 Housekeeping Continual Improvement. 8.4 O & M the User Impact. 8.5 Best Practice Facilitating Change. CASE STUDIES. St. Stephen's Episcopal K-8 School, Harrisburg, PA. Candler Library Renovation, Emory University, Atlanta, GA. Jean Vollum Natural Capital Center, Portland, OR. Eastern Village Cohousing Condominiums, Silver Spring, MD. Felician Sisters Convent and School, Coraopolis, PA. CHAPTER 9: HOUSES. 9.1 Houses The Impact of Our Choices. 9.2 Energy Conservation, Envelope, and Alternative Energy. 9.3 Holistic Water Conservation. 9.4 Materials Reduce, Reuse, Recycle, Repair, and Renew. 9.5 Changing Behavior and Options Living Sustainably. CASE STUDIES. Hanvey House, North Vancouver, BC. Solar Umbrella House, Venice, CA. Capitol Hill House, Seattle, WA. Adeline Street Urban Salvage Project, Berkeley, CA. Chicago Bungalows, Chicago, IL. CHAPTER 10: THE RECENT PAST. 10.1 The Recent Past Modern Architecture, Boomer Buildings. 10.2 Preservation Challenges. 10.3 Environmental Dilemmas. 10.4 Strategies for Renewal. 10.5 Lessons Learned. CASE STUDIES. Karges-Faulconbridge Offi ce Building, Roseville, MN. Crown Hall, Chicago, IL. North Boulder Recreation Center, Boulder, CO. California College of the Arts, San Francisco, CA. Vancouver Island Technology Park, Victoria, BC. INDEX.

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)0,001
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 consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,771
Score d'incertitude au seuil0,979

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0220,000

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 Opus0,068
Tête enseignante GPT0,263
Écart entre enseignants0,195 · 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 tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

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

En bref

Citations53
Publié2010
Routes d'admission1
Résumé présentoui

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