Canadian Newsprint Portrayals of Foreign Brides/ “Mail Order Brides": Comparing Representations Surrounding Policy Changes in 2002 and 2012
Bibliographic record
Abstract
Despite the small amount of Canadian literature on the topic of “mail order brides”, authors have argued that women in this situation often face abuse at a heightened rate, which highlights the need for more research. Focusing on the time periods of 2000-2004 and 2010- 2014, Canadian newsprint stories were gathered in order to compare media portrayals of “mail order brides” surrounding two important policy changes. Findings indicate that surrounding a policy amendment in 2002, more positive portrayals of “mail order brides” can be noted, whereas more emphasis on fraudulent cases of “mail order brides” are present in press surrounding a second policy change in 2012. As well, blaming the individual is constant over both time periods, with minimal focus on broader structural issues that disadvantage “mail order brides”. Future research is needed to expand understanding on this topic with the goal of promoting more progressive immigration policies.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".