Exploring the Impact of Privacy and Spatial Configuration on Living Efficiency in Residential Apartments of Duhok City
Bibliographic record
Abstract
This study examines the impact of privacy and spatial configuration on the efficiency of residential apartments in Duhok City, focusing on how these factors influence resident satisfaction and functional efficiency in urban housing.Using a mixed-methods approach, the research combines quantitative data from Depthmap X and A-Graph analyses with qualitative insights from interviews conducted with thirty-two residents across 13 apartment complexes.The findings highlight notable variations in spatial metrics such as Connectivity, Integration, and Control Value, which significantly correlate with residents' perceptions of privacy, spatial layout, and overall livability.For example, higher integration values were associated with increased social interaction but occasionally compromised privacy, while greater mean depth values enhanced privacy at the expense of social connectivity.These observations underscore the intricate relationship between architectural design and resident experience.The study advances urban planning and architectural design by showing that thoughtful attention to privacy and spatial configuration can substantially improve the functional efficiency of living spaces.Implications of this research include the formulation of design guidelines that balance individual privacy with communal interaction, potentially guiding future residential development projects in Duhok and similar environments.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".