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Record W3159305871

(S)pacing Female Education in the Punjabi Sikh Diaspora: Negotiating Gender and Female Sexuality in Balli Kaur Jaswal’s Novels

2021· article· en· W3159305871 on OpenAlexvenueno aff
Angelia Poon

Bibliographic record

VenuePostcolonial text · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaGender studiesSociologyShameSocializationHuman sexualityEthnic groupIndependence (probability theory)IdeologyAnthropologySocial sciencePolitical sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

In this article, I examine the work of Balli Kaur Jaswal, a Singapore-based novelist, who has written four novels about the Punjabi Sikh diaspora. I begin by establishing some of the tensions faced by a diasporic Anglophone writer today within the unequal circuits of global publishing before turning to Jaswal’s Sugarbread (2016) and Erotic Stories for Punjabi Widows (2017). Here, I examine the education and socialization of both female protagonists as they face disciplining constraints from familial ties, their patriarchal ethnic community and religious orthodoxy in the specific socio-historical national and regional spaces they inhabit. Enforced in spatial ways, these constraints operate with the threat and shame of female sexual transgression serving as their collective ideological center. At the same time, I also discuss how Jaswal appropriates the fluidity of national and diasporic spaces to explore possibilities for Sikh women’s self-assertion and independence.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.017
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.289
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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