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Record W3011877822 · doi:10.3390/rel11030135

“I Get Peace:” Gender and Religious Life in a Delhi Gurdwara

2020· article· en· W3011877822 on OpenAlexafffund
Kamal Arora

Bibliographic record

VenueReligions · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsUniversity of the Fraser Valley
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWorshipGender studiesEthnographySociologyIndigenousBuddhismViewpointsHinduismHistoryReligious studiesAnthropologyLawPolitical scienceArchaeologyArt

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.235
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

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