MétaCan
Menu
Back to cohort
Record W2593466003 · doi:10.1201/9781315116068-27

Real estate, residency, design and sustainability: Reconsidering innovation and efficacy in development

2017· article· en· W2593466003 on OpenAlexaboutno aff
Sancho Rajan, B.R. Sinclair

Bibliographic record

VenueThe 10th EAAE/ARCC International Conference · 2017
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsReal estateSharing economyRentingBusinessFunction (biology)MarketingEconomicsFinancePolitical scienceLaw

Abstract

fetched live from OpenAlex

Real estate planning, design, development and building prove deeply complex. For nearly five decades developers have been doubling down, contractors have been cutting corners, architects and engineers have been copying and pasting, planners have been creating more rules, and bankers, lawyers, realtors and insurers have all profited excessively from a fundamentally broken system (Miller 2009). All the while, home owners have unknowingly and knowingly spent trillions of dollars on accommodation that lacks in either quality, cost, location, fit or all of the above. However, as long as the economy continues on an upward trajectory, the climate doesn’t change too much and home buyers don’t ask for anything more, the system will endure. Should we be changing anything? Homes shape our communities, guide our relationships, characterize our identity, create intimacy and increasingly prove vehicles for funding retirement. Since 2008, average home prices have risen by 50% pushing family net worth up 44.5% (Marr 2015). The real estate, rental and leasing economy is equivalent in size to the educational services and healthcare industries combined and nearly 20 times larger than the arts, entertainment and recreation industries (Statistics Canada 2015). The housing sector is a life line to the economy and, if thrown off balance, has proven to be crippling. We remain dependent on a fragile system which, in many ways, doesn’t function as well as we think or as well as we desire. Today, 20% of Canadians face an affordable housing crisis, spending over half their income on their home (McMahon 2015). This problem is magnified globally, where an estimated 1.6 billion will be affected by an affordable housing crisis by 2025 (Woetzel 2014). Rising prices and lack of productivity within the construction industry contribute to unaffordability (LePatner & Jacobson 2007). This is intensified by a lack of innovation; only one construction and engineering company made it to Forbes 100 most innovative companies in 2014. Since the turn of the 19th century, the movement of architects and engineers from a craft practice model to a professional services model shifted liability onto developers and withdrew the creativity involved in place-making by creating a highly fragmented and arguably dysfunctional industry. As such, less than 5% of homes have an architect involved in the design (Brown & North 2011). The housing industry is also a great environmental concern. Buildings contribute to one third of global greenhouse gas emissions (Huovila 2009) and the urban sprawl of the last few decades has resulted in numerous negative externalities (Thompson 2013). We cannot continue to rely on this broken system. Although new urban and minimalistic movements are becoming more prominent, a systemic change is needed (Zevon 2011). Purchasers should no longer forgo quality, cost, location or fit. By unveiling the venality of the current industry, and finding the cruxes for change, we can create a more innovative and integrative industry. The present research critically considers the status quo, exploring aspects of the design and development industries that desperately need overhaul, integration, coordination and stream-lining. Holistic conceptual frameworks can be shaped and applied to tackle the daunting complexity of such systems (Sinclair 2009). To such ends the authors present a model for systemic reform that aims to shift priorities from profit and bottom-line thinking to place-making and quality of life, understanding that creativity, balance and reform are urgently required in order to see real progress in an endemically fragmented & problematic ethos.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.067
GPT teacher head0.313
Teacher spread0.246 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe 10th EAAE/ARCC International ConferenceSame topicSustainable Building Design and AssessmentFrench-language works237,207