Trafficking in Women in Canada: A Critical Analysis of the Legal Framework Governing Immigrant Live‐in Caregivers
Bibliographic record
Abstract
This article will analyze the legal framework for hiring immigrant live‐in caregivers under the Canadian Live‐in Caregiver program. This phenomenon raises issues of immigration law, social legislation and labour law, human rights and contract law. The unequal relationship between an immigrant live‐in caregiver and her employers, the obligation to live in their home for a period of two years, as well as the precariousness of her work status during this period, lead to a situation of abuse. This program contributes to exploitation and trafficking of women in Canada. Thus we propose that this program be discontinued because it allows the exploitation of immigrant workers. However, in order to enable such workers to immigrate to Canada to counteract the shortage of live‐in caregivers, we suggest that the immigration criteria for the independent class be amended.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.049 | 0.019 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".