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Record W3100785797 · doi:10.6000/1929-4409.2020.09.70

Gender Issues in the Built Environment: A Study on the Role of Architecture for a Sustainable Society

2020· article· en· W3100785797 on OpenAlexvenueno aff
Salih Ceylan

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2020
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureBuilt environmentSustainable developmentSustainable designGender equalitySustainable societyGender balanceSociologySustainabilityPsychologyPolitical scienceEngineeringGender studiesCivil engineeringLawGeography

Abstract

fetched live from OpenAlex

Societies are sustainable if they consist of a mixture of users with various interests, needs, and abilities. Sustainable societies are defined as structures that include different elements in a balance to remain healthy over the long term. One of the key elements of a sustainable society is gender equality. It can be maintained through various factors where architectural design and the built environment can become effective instruments. Although the role of architecture in gender issues is sometimes ignored, its reflection can be seen in the built environment in many different instances. Therefore, architecture has the responsibility to remark gender issues in the built environment to aid in meeting the needs of a sustainable society. This paper presents a study that examines the importance and the role of architectural design in a sustainable society through gender equality in the built environment. The hypothesis of the paper states that the built environment is perceived differently by women and men, and it needs to be designed accordingly. The methodology consists of a literature review on the relationship of gender and architecture, and a quantitative analysis of a questionnaire conducted in Istanbul, Turkey among women and men. Outcomes of the study reveal that gender equality in the built environment and gender equality in the society have a mutual relationship, so that architecture needs to consider them as primary input data in design.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.042
GPT teacher head0.299
Teacher spread0.257 · 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 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

Citations7
Published2020
Admission routes1
Has abstractyes

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