Cultural Integration of the Built Environment -the case of displaced Pakistanis on the outskirts of Tehran
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Amid an unprecedented rise in global displacement, over 122 million individuals now face the challenge of adapting to unfamiliar cultural and living environments. Despite separate studies on post-displacement acculturation and the built environment, their intersection remains largely neglected. This study used grounded theory ethnography over three years to investigate a displaced Pakistani community near Tehran, their Iranian hosts and their respective dwellings, and the behaviors they harbor. Based on the findings, a model was developed to study post-displacement cultural integration of the built environment. The study explores acculturation outcomes in the built environment—integration, separation, and assimilation—shaped by internal cultural shifts and external factors like surroundings, legalities, and social context. The Pakistani population in particular, exhibited minimal cultural change, influencing their spatial organization and behavior settings. Furthermore, this model can assist practitioners and academics in addressing displaced population's built environment. • Examines shifts in identity, climate adaptation, and loss of rural bonds in displaced Pakistani communities. • Uses miniature bricks and stories to show pre-displacement life and bypass literacy barriers. • Introduces the CIBE model to study cultural integration in housing and built environments.
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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 | 0.001 |
| 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 it