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Record W1875373931 · doi:10.25071/1920-7336.21302

Travel Agency: A Critique of Anti-Trafficking Campaigns

2003· article· en· W1875373931 on OpenAlexaffvenue
Nandita Sharma

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAgency (philosophy)PoliticsImmigrationPolitical scienceCriminologyIdeologyTransformative learningSociologyIllegal immigrantsPolitical economyLawSocial science

Abstract

fetched live from OpenAlex

This paper offers a critical evaluation of anti-trafficking campaigns spearheaded by some in the feminist movement in an attempt to deal with the issues of unsafe migrations and labour exploitation. I discuss how calls to “end trafficking, especially in women and children” are influenced by – and go on to legitimate – governmental practices to criminalize the self-willed migration of people moving without official permission. I discuss how the ideological frame of anti-trafficking works to reinforce restrictive immigration practices, shore up a nationalized consciousness of space and home, and criminalize those rendered illegal within national territories. Anti-trafficking campaigns also fail to take into account migrants’ limited agency in the migration process. I provide alternative routes to anti-trafficking campaigns by arguing for an analytical framework in which the related worldwide crises of displacement and migration are foregrounded. I argue that by centering the standpoint of undocumented migrants a more transformative politics emerges, one that demands that people be able to “stay” and to “move” in a self-determined manner.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.901

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.294
Teacher spread0.278 · 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 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

Citations111
Published2003
Admission routes2
Has abstractyes

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