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Record W605209623

Sustainable Preservation: Greening Existing Buildings

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

Bibliographic record

VenueMedical Entomology and Zoology · 2010
Typebook
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityEngineeringSustainable communitySustainable developmentArchitectural engineeringPolitical scienceLawEcology
DOInot available

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.005
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0990.077

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 head0.068
GPT teacher head0.263
Teacher spread0.195 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations53
Published2010
Admission routes1
Has abstractyes

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