Bound from Head to Toe: The Sari as an Expression of Gendered National Identity
Bibliographic record
Abstract
Abstract This article explores the clothing choices of I ndian women and the relationship between clothing and the construction of the nation in contemporary I ndia. Building on the existing literature on nationalism, combined with feminist and cultural studies approaches, the article uses interviews with young I ndian women as an entry point into exploring the symbolic role of women and the sari within I ndian nationalism. In doing so, this article questions to what extent choosing what to wear is an example of choosing the nation, whether it is a free and conscious choice, and whether it is appropriate to see these choices as constitutive of national identity or merely ornamental. In conclusion, I argue that something as ordinary as choosing what to wear has the potential to undermine dominant discourses surrounding the nation. While choosing to wear the sari does not always reflect a conscious choosing of the I ndian nation, the clothing choices of I ndian women do allow them to navigate complex social and cultural identities in their everyday lives and reflect the importance of the ‘everyday’ within theorising and explaining the construction and maintenance of nations.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.004 | 0.003 |
| 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".