MétaCan
Menu
Back to cohort
Record W234328772

Gender Eclipsed? Racial Hierarchies in Transnational Call Center Work

2005· article· en· W234328772 on OpenAlexaff
Kiran Mirchandani

Bibliographic record

VenueSocial Justice A Journal of Crime Conflict & World Order · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociologyGender studiesContext (archaeology)Call centreHegemonyCapitalismPublic relationsPolitical scienceLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

FEMINIST ETHNOGRAPHIES ON THE NATURE OF GLOBAL CAPITALISM HAVE PROVIDED A wealth of knowledge on gendered nature of transnational subcontracting and on ways that women many parts of Asia, Caribbean, and Latin America have been constructed as workers within transnational factories producing garments, food products, shoes, electronics, and transcriptions at nominal cost developing countries. This article explores a seemingly opposite trend at play Indian call centers that provide voice-to-voice service to U.S. clients. Call center work is many ways epitome of what is commonly seen as Providing good service on telephone requires skills associated with hegemonic femininity, such as being nice, making customers feel comfortable, and dealing with irate customers (Hochschild, 1983; Steinberg and Figart, 1999; Leidner, 1999). Yet, interestingly enough, call center work newly emerging centers New Delhi is not always segregated by gender. In fact, interviews I conducted, managers, trainers, and workers unanimously and emphatically construct their jobs call centers as free of gender-bias and equally appropriate for male and female workers. (1) This article evaluates these discursive claims of occupational desegregation transnational call center work India. I argue that gender segregation segments of outsourced call center industry India is situated within context of racial hierarchies between Indian workers and Western customers, which fundamentally structure transnational service work. Gender is eclipsed sense that it is hidden behind a profound, racialized gendering of jobs at a transnational level. Segregation and Desegregation Global Production One hallmark of transnational subcontracted work has been vast numbers of jobs specifically targeted for women workers. Since 1970s, researchers have noted women's overrepresentation export-processing industries (Salzinger, 2003: 12). As Basu and Grewal (2001: 943) summarize, capitalism [has] depended on sexism order to be global. Ong (1991: 287) notes that if we look at figures for all off-shore industries, women tend to comprise lower-paid half of total industrial work force developing countries.... They are concentrated a few industries: textiles, apparel, electronics, and footwear. Women's appropriateness for these jobs is often defined ideological terms (such as natural dexterity or assumed nimbleness) and women workers earn 30 to 40% less than men do worldwide (Steans, 2003: 368). Salzinger traces ways which women have been constructed as ideal workers Mexican maquilas, whereby 'femininity' has become closely linked to productivity, and 'masculinity' to sloth and disruption (2003: 10; Bergeron, 2001; Carty, 1997; Ong, 1991). As Steans (2003: 368) notes, in Asia, 1980s, women made up 85 percent of workers Export Production Zones. In other areas, figure for women workers was typically around 75 percent. More recently, feminists writing about transnational global regimes have noted growing desegregation of traditionally feminized subcontracted jobs. Meera Nanda (2000: 26), for example, provides evidence of rising defeminization of offshore work, arguing that computer-aided manufacture and flexible production techniques are changing skill requirements and gender composition of workers employed by apparel and microelectronics industries. Nanda notes that women face risk of being displaced from export-oriented sector as men fill more skilled and better jobs. Salzinger similarly documents growing integration of men into maquiladoras a case study of a factory that employs an equal number of women and men. She notes that the subjects who are enacted are not ungendered; they are implicitly masculinized and all workers are assumed to be breadwinners automatically invested autonomy and high productivity (Ibid. …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.344
Teacher spread0.306 · 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.

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

Citations38
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueSocial Justice A Journal of Crime Conflict & World OrderSame topicLabor Movements and UnionsFrench-language works237,207