Bibliographic record
Abstract
Trafficking of women for marriage is recognized as a modern-day slave trade, although it has a long history in China. The reasons for its resurgence in China include, but are not limited to, patriarchal values, state-tolerated sex discrimination, vulnerability of women and the transformation of socio-economic situations. Accordingly, the task of eradicating the trafficking in women involves combating feudal and patriarchal assumptions about male dominance and male supremacy; building up the confidence and dignity of the gender of female; systematic governmental and international support of issues of importance to women; restructuring legal systems where they are still imperfect; adjusting economic systems so that women are never exploited economically; strengthening fundamental and higher education of women; regulating objectifying and pornographic media images of women; and developing ways in which men and women can relate without either dependency or dominance. The author examines and evaluates both the strengths and weaknesses of the current criminal justice policy of the Chinese government against trafficking practices. She then argues that the existing policy against trafficking is insufficient and ineffective and needs to be reformed in a number of aspects as suggested. In this article, the author takes a multi-disciplinary approach, including historical, cultural, economic, ideological, sociological and legal study.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".