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INNOVATION THE PRACTICES OF CONSTRUCTION OF SUSTAINABLE NEIGHBORHOODS: JARDIM DAS PERDIZES, SÃO PAULO – BRAZIL

2020· article· en· W3016814459 on OpenAlexaff
Meriellen Nuvolari Pereira Mizutani, Juliana Rodrigues Maróstica, Carlos Alberto Nunes de Oliveira, Mario Chiarastelli Paulin, Rafael Alexandre do Nascimento Purificação, Diego de Melo Conti, Tatiana Tucunduva Philippi Cortese, João Alexandre Paschoalin Filho

Bibliographic record

VenueJournal on Innovation and Sustainability RISUS · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsSustainabilityPopulationConsumption (sociology)Real estateNatural resourceBusinessUrbanizationEnvironmental economicsSustainable developmentEnvironmental planningEconomic growthNatural resource economicsGeographyEconomicsFinancePolitical scienceSociology

Abstract

fetched live from OpenAlex

The growth of the population's demand for urbanization besides the globalization of the economy and technology, leads to the depletion of natural resources, requiring a new vision of business focused on sustainability. In this scenario, the Civil construction has been acting in a participatory way in designing and thinking, aiming to reduceimpacts to the environment. The Jardim das Perdizes neighborhood, located in the Barra Funda region of São Paulo, is the first to receive the AQUA certification of sustainable neighborhood, and has several constructive techniques and equipment bringing improvement and economics of the use of natural resources, with Predictedrates of reduction of 35% of water consumption and 25% of energy consumption, in addition to the high performance of buildings, spaces and equipment. Moreover, within the undertaking there is also a park donated to the public sector with complete infrastructure, integrating the leisure space with the interrelations of society andthe ways of thinking sustainability. It is possible to observe with the study that the actions of fostering sustainable constructions benefit the environment with the reduction of raw material consumption and non-renewable resources, to the population with more planned and better income spaces and to the market Real estate, valuingbuildings.

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)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.358
Teacher spread0.327 · 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.

Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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