Trafficked women/fractured women: Russian women surviving in the 'new global order'.
Bibliographic record
Abstract
This thesis examines the emergence of global trafficking as an outcome of economic restructuring.As structural adjustment policies (SAPs) are initiated, consequences negatively accumulate to entrap women in a vicious cycle of impoverishment, marginalization, and social degeneration which make them susceptible to trafficking.Grafting neohberal capitalism onto societies reinforces patriarchy while it weakens norms and values, and enables an ethic of self-interest to supercede social responsibilities.Liberalization, privatization, and deregulation of domestic economies provide opportunities for the simultaneous exploitation of women, growth of organized crime, and corruption of the state.The Russian case study substantiates how market reforms progressively proletarianize, sexuahze, and frequently criminalize women's labour, promoting the globalization of trafficked women.Market reforms are exposed as severely biased policy instruments that subjugate women under the control of interdependent patriarchies, whether states or individual men, for profit.Unless the neoliberal capitalist agenda is subverted, social destabilization will result in increasing exploitation of the vulnerable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".