Producing Sacred Space in Secular Kitchens: South Asian Immigrant Women’s Hindu Shrines in American Domestic Architecture
Bibliographic record
Abstract
This paper demonstrates the processes of spatial production achieved through the setup of a home shrine by newly arrived Hindu immigrant women inside American houses, particularly the kitchens. By focusing on the home shrine, the paper uses a gendered lens through which to understand vernacular architecture, since women often garner greater control over domestic objects and interiors than they do over construction of buildings. I propose that production of sacred space, achieved through domestic objects like home shrines, is a fluid process. Its location in the house can be more easily changed from one place to another. Compared to the permanent construction of buildings, this compliancy of form may appear less concrete for providing objective architectural analysis. However, I suggest that it is the opposite. The flexibility involved in women’s production process makes room for greater spatial negotiation and demonstrates the diversity of ways concrete domestic architecture is maneuvered to satisfy women’s religious needs over time. Further, the paper demonstrates the wide array of complex decisions that women have to make regarding body movements in the house and worship practices, achieved through material intervention, that speak of domestic architecture in less static and more dynamic ways. By tracing women’s experiences with domestic architecture as new arrivals in the country, and later, as permanent residents, the paper foregrounds women’s strong architectural contributions through the use of domestic objects that enable a gendered and consequently a more inclusive approach to the study of architectural space.
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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 | 0.001 | 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 | 0.007 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".