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Record W4409048894 · doi:10.1002/fea2.70004

Trading sex for freedom: The influence of Kamala Kempadoo's early scholarship

2025· article· en· W4409048894 on OpenAlexaff
Lyndsey P. Beutin

Bibliographic record

VenueFeminist Anthropology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScholarshipSociologyGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract This article revisits Kamala Kempadoo's publications on sex work in the Caribbean in the late 1990s and early 2000s. This period marks both the era before the framework of anti‐trafficking consumed the field of sex work studies and the era when Black feminist ethnographic research on how race, class, and structural violence affected women's lives globally was making an impact across disciplines. By focusing on three key concepts (work, race and gender, and slavery), I show how Kempadoo recontextualized terms used by anti‐prostitution feminists within the history of colonialism and the political economy of 1990s multilateral trade. In so doing, she offered feminist sociologists and anthropologists new possibilities for understanding sexual labor and sexual freedom. The paper then returns to Kempadoo's engagement with the history of enslaved Black women in Caribbean brothels to offer an alternative reading of the relationships between slavery and sex work that now dominate the public relations campaigns of anti‐trafficking organizations. Taken together, Kempadoo's multidisciplinary contributions help feminist anthropology see how important global sex worker activism is to understanding race, gender, and work. This paper further demonstrates how combining critical engagement with feminist ethnographies with historical memory studies can shed new light on contemporary social issues.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.363
Teacher spread0.339 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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