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Record W4392895530 · doi:10.1080/19472498.2024.2311034

Ties that bind: fashion, textiles, and gendered labour in South Asia today

2024· article· en· W4392895530 on OpenAlexaff
Melia Belli Bose

Bibliographic record

VenueSouth Asian History and Culture · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFactory (object-oriented programming)Agency (philosophy)PoliticsSociologyTextile industryClothingTextileGender studiesPolitical scienceSocial scienceHistoryLaw

Abstract

fetched live from OpenAlex

As in many parts of the world, throughout South Asia, the various steps in textile production have historically been gendered, with men and women performing their respective specialized jobs. The late twentieth century saw the erosion of these long entrenched gendered roles in the region’s textile/garment industries. As they assume new roles in the workforce, women face challenges, including discrimination and physical danger. How are women negotiating these challenges? How is women’s textile-based labour valued in South Asia today? As artisans of regional heritage textiles, do men and women exercise their creative agency and market their work differently? What support systems are in place to train new generations of heritage textile makers, advocate for garment factory workers, and educate young women from textile making communities? This introduction to the special edition on confluences of gender, labour, and textiles/fashion in contemporary South Asia lays out the questions posed above. It provides a brief overview of textile production in the subcontinent, focusing on makers, markets, the role of gendered labour, and the interventions the following articles make to the field. The authors of the articles in this edition – scholars of art history, sociology, anthropology, political science, media and gender studies, and a textile curator and founder of a textile-based Non-Governmental Organization – offer unique insight into the South Asian textile/garment industry from the vantage point of garment factory workers, activists, socially engaged artists, factory owners, heritage textile makers, and recyclers of discarded fabric.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.815

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 communication0.0000.001
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 head0.020
GPT teacher head0.219
Teacher spread0.200 · 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 designQualitative
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

Citations3
Published2024
Admission routes1
Has abstractyes

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