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Record W1544894682

Threat or opportunity? Sexuality gender and the ebb and flow of trafficking as discourse.

2003· article· en· W1544894682 on OpenAlexvenueno aff
Penelope Saunders, Gretchen Soderlund

Bibliographic record

VenueCanadian women's studies · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationScrutinyCitizenshipPopulationPolitical scienceDevelopment economicsSociologyLawDemographyPoliticsEconomics
DOInot available

Abstract

fetched live from OpenAlex

Levels of public concern in the U.S. over trafficking in women and children have peaked twice in the last century: between 1907 and 1913 during the controversy over “white slavery” and again in the 1990s with the rising concern over global sex trafficking. It is not surprising that trafficking—-a phenomenon so closely linked to notions of movement and mobility—-would emerge as a major social issue during these two periods. The first and last decades of the twentieth century both witnessed seismic demographic shifts. Nearly 1000000 people immigrated to the U.S. per year between 1905 and 1914. After World War I immigration declined sharply partly due to restrictive new citizenship laws. The U.S. would not see similar levels of immigration until 1989 the inaugural year of an eleven-year wave of heightened migration (Bureau of Citizenship and Immigration Services). The two periods under scrutiny share additional features in common: facilitated by the introduction of new technologies—-railroad and new communications technologies respectively—-capital expanded during both periods seeking out inexpensive labour and new markets for its products and services. Not surprisingly informal and illicit markets flourished as well including the gun drug and sex trades. Increased migration led to domestic anxieties over immigration during both periods. Early twentieth-century reform movements were largely a middle-class response to the dramatic expansion of the U.S. urban population. Many of the new immigrants arriving on U.S. shores hailed from eastern and southern Europe and were largely Catholic Jewish and atheist precipitating a wave of xenophobia among the slightly-more-rooted Protestant populations. Likewise the collapse of communism in Eastern-bloc countries in the late 1980s and early 1990s intensified the movement of people on a global scale. This global shift coupled with increased migration to the U.S. from the south resulted in a resurgence of anti-immigrant sentiment in the U.S. and abroad. (excerpt)

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.980

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 studies0.0010.002
Scholarly communication0.0000.000
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 head0.060
GPT teacher head0.338
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 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

Citations25
Published2003
Admission routes1
Has abstractyes

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