Immigrant Community Spaces: Socio-cultural Manifestations in the Spatial Characteristics of Turkish Community Centers in Montreal
Bibliographic record
Abstract
Communities of diaspora are identified by their distinct socio-cultural and religious values in a foreign setting. How they position themselves in the built environment of the host country is determined by the spaces that they establish for themselves. This study focuses specifically on Turkish immigrant community in Montreal from an architectural perspective to shed light on to their cultural and religious structure, challenges they face in maintaining their cultural identity, and the role space and architecture play in their negotiation process in a predominantly non-Muslim city. By analyzing specific community center and mosques, the study aims to understand the socio-cultural dynamics and reasons behind the establishment of these buildings by Turkish immigrant groups, and people’s interactions with their surroundings both physically and socially. Moreover, placing these buildings in relation with temporal community behaviors is important to establish the formation of Turkish immigrants’ cultural landscape in Montreal’s urban context. By making observations on the chosen locations that belong to Turkish communal life in Montreal, and by relying on the information gathered from conducted interviews, this study creates connections between theoretical ideas about production of space and material culture, transnational meanings of mosque architecture, impacts of diverse demographics structure and people’s everyday lives, and religious and political ideologies. The main argument revolves around the premise that social formation of Turkish diaspora in Montreal, and the negotiation process between its cultural collective memory and its adaptation into the host environment can be traced and identified in the location, development, design, and spatial configuration and characteristics of its community centers and mosques throughout the city. Distinct design identifiers and role of architecture are then addressed in an interpretive manner.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".