Bibliographic record
Abstract
In October and November of 1984, after the assassination of Prime Minister Indira Gandhi by her Sikh bodyguards, approximately 3500 Sikh men were killed in Delhi, India. Many of the survivors—Sikh widows and their kin—were relocated thereafter to the “Widow Colony”, also known as Tilak Vihar, within the boundary of Tilak Nagar in West Delhi, as a means of rehabilitation and compensation. Within this colony lies the Shaheedganj Gurdwara, frequented by widows and their families. Based on ethnographic fieldwork, I explore the intersections between violence, widowhood, and gendered religious practice in this place of worship. Memories of violence and experiences of widowhood inform and intersect with embodied religious practices in this place. I argue that the gurdwara is primarily a female place; although male-administered, it is a place that, through women’s practices, becomes a gendered counterpublic, allowing women a place to socialize and heal in an area where there is little public space for women to gather. The gurdwara has been re-appropriated away from formal religious practice by these widows, functioning as a place that enables the subversive exchange of local knowledges and viewpoints and a repository of shared experiences that reifies and reclaims gendered loss.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".