Gender Issues in the Built Environment: A Study on the Role of Architecture for a Sustainable Society
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".