Disruptive Garb: Gender Production and Millennial Sikh Fashion Enterprises in Canada
Bibliographic record
Abstract
Several North American Sikh millennials are creating online values-based fashion enterprises that seek to encourage creative expression, self-determined representation, gender equality, and ethical purchasing, while steeped in the free market economy. Exploring the innovative ways young Sikhs of the diaspora express their values and moral positions in the socio-economic sphere, one finds many fashionistas, artists, and activists who are committed to making Sikh dress accessible and acceptable in the fashion industry. Referred to as “Sikh chic”, the five outwards signs of the Khalsa Sikh—the “5 ks”—are frequently used as central motifs for these businesses (Reddy 2016). At the same time, many young Sikh fashion entrepreneurs are designing these items referencing contemporary style and social trends, from zero-waste bamboo kangas to hipster stylized turbans. Young Sikh women are challenging mainstream representations of a masculine Sikh identity by creating designs dedicated to celebrating Khalsa Sikh females. Drawing on data collected through digital and in-person ethnographic research including one-on-one interviews, participant observation, and social media, as well as fashion magazines and newsprint, I explore the complexities of this phenomenon as demonstrated by two Canadian-based Sikh fashion brands, Kundan Paaras and TrendySingh, and one Canadian-based Sikh female artist, Jasmin Kaur.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".