Privacy Patterns in Homes of Middle-Class Shaamy Immigrants in Montreal
Bibliographic record
Abstract
After the Second World War, several waves of mostly highly educated, middle-class, traditional Muslim families from the Shaam arrived in Canada. As a result of cultural differences they found that their new living environment in Montreal did not respond to their privacy needs. This paper examines the privacy patterns observed in homes of the Shaamy community in Montreal by analyzing physical characteristics and modifications made to their single family detached homes and townhouses, usage patterns of domestic spaces, and inhabitants' privacy behavioral modalities. In the context of the discussion, the paper alludes to some salient characteristics of the traditional living environment, indigenous lifestyle, and the socio-religious and cultural privacy concepts of this community. It scrutinizes briefly the correlation between these elements and the physical characteristics of Montreal housing patterns and of privacy concepts which are embodied in their designs. Both internal home layouts and functions and outdoor settings are analyzed in relation to the community and privacy. Consequently, the paper diagnoses major privacy deficiencies in the design of community homes and highlights domestic privacy mechanisms and utilization modes of the home environment. Finally, criteria are established for improving the design of detached homes and townhouses, with minimal change applied to their physical structure and patterns.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".