Review of Caitrin Lynch's 'Juki Girls, Good Girls: Gender and Cultural Politics in Sri Lanka’s Global Garment Industry'
Notice bibliographique
Résumé
Under familiar pressure to liberalize the economy, in 1977 Sri Lanka established an export-oriented garment industry, locating factories mainly in urban areas near to the capital Colombo.In 1992 the government pushed industrialization into rural areas under a program called 200 Garment Factories Program (200 GFP).Caitrin Lynch's well argued and ethnographically rich study shows how and why the program was promoted by the state, how it was received and contested by different segments of Sri Lankan society, and especially, how the women who came to work in rural factories attempted to live and actively negotiate their identities as respectable women.Many studies have detailed the lives of women in global factories.Lynch's ethnography is distinctive in its attention to national debates over the use of women's labour for economic development, showing how contested ideas about women's morality can be used to advance nationalist agendas.Taking factory jobs presented contradictions for rural women.They provided critical resources for poor families.But women also ran the risk of being viewed as Juki girls; the term for garment workers that became derogatory shorthand for urban women workers reputed to engage in behaviour morally inappropriate for Sinhala Buddhists.Insightful autobiographical essays by women workers, commissioned by Lynch, interleave the chapters and show women's complex agency in navigating difficult terrain.The 200 GFP was initially promoted by United National Party President Premadasa to dispel unrest among rural youth.In the context of extremely violent political conflicts, especially in rural areas, the program was put forward as a way to reduce the chance of revolts like those of the 1970s and late 1980s by young Janatha Vimukthi Peramuna (JVP, People's Liberation Front) supporters.Though seen by some as fiercely nationalist and anti foreign investment, these revolts were widely viewed as due to young people's 'frustration' with growing disparities between urban and rural Sri Lanka.Lynch analyzes the discursive strategies used to promote a program that, by shifting women's place in village society, was as likely to provoke dismay as applause.As part of a broader nation-building and nationalistic agenda, the President invoked 'glorious village traditions' that romanticized the pre-colonial period, advancing a version of capitalism consistent with Sinhala Buddhist values.Within months of being established the program turned attention away from youth problems and toward the behaviour of rural women.The contradiction that the JVP was composed primarily of men while it was women employed in the factories was explained by state representatives and factory owners and managers as due to women's greater suitability
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».