Reading Between the Lines: A Case Study of British and Canadian National News Coverage of Sex Trafficking
Bibliographic record
Abstract
Current scholarship on migrant sex work warns us to avoid viewing female migrant sex workers as either passive "victims" of male dominated trafficking schemes or ruthless villains who chose prostitution and illegal migration. This thesis concentrates on the print media in two democratic states, Canada and the United Kingdom in order to investigate how the public is being educated on migrant sex work. Specifically, this thesis analyzes representations of female migrant sex workers in news articles published by the British newspaper The Guardian, and the Canadian newspaper The Globe and Mail . A total of 100 articles are selected by keyword search from the years 2000-2008. They are analyzed by using frame analysis. Overall, this thesis concludes that the audiences of The Globe and Mail and The Guardian are provided with a partial account of who migrant sex workers are and how or why they end up in the sex trade.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".