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Record W4388603940 · doi:10.5216/revjat.v5.76161

Arquitetura residencial multifamiliar no período pós pandêmico: Necessidades e transformações.

2023· article· pt· W4388603940 on OpenAlexaff
Natasha Ribeiro, Aline Silva Sauer

Bibliographic record

VenueRevista Jatobá · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyPhysics

Abstract

fetched live from OpenAlex

Durante a pandemia da COVID-19, a forma de interagir com o espaço construído mudou consideravelmente, principalmente com o ambiente residencial, devido as transformações sociais e novas necessidades. Esse trabalho visa compreender a influência desse fenômeno nos projetos arquitetônicos de edifícios residenciais multifamiliares. Para isso, realizou-se uma pesquisa bibliográfica e entrevistas com 5 arquitetos que realizam projetos arquitetônicos de edifícios multifamiliares na cidade de Vitória – ES. Também foram analisados projetos de 18 edificações, de médio a alto padrão, lançados entre os anos de 2020 a 2022 nessa cidade. Observou-se que a pandemia causou mudanças significativas na forma de projetar edifícios residenciais, incluindo a necessidade de espaços para home office ou coworking, áreas verdes e para animais de estimação, entre outras. Conclui-se que as mudanças sociais afetam diretamente na forma de morar e a pandemia da COVID-19 trouxe demandas urgentes que levaram a transformações rápidas e significativas nos projetos de edificações residenciais, que precisaram ser acompanhadas pelo mercado imobiliário, resultando em alterações favoráveis à saúde e bem-estar dos moradores.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.010

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 head0.055
GPT teacher head0.333
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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