Organizing for Immigrant Rights: Policy Barriers and Community Campaigns
Bibliographic record
Abstract
Immigration to Canada has changed in basic ways the composition of the labor force. Over the past 40 years, a large wave of immigrants has arrived from the countries of the “Global South”. Many have arrived with high levels of education and qualifications; however, the jobs they receive are at the bottom of the labor market. The Immigrant Workers Center (IWC) in Montreal is an organization that provides individual services, education on rights, and organizes immigrant workers for workplace justice. This article describes three campaigns led by the center. They reflect the exclusion of immigrant workers from coverage in policy areas related to heath care, compensation for workplace injury, and benefits for collective lay-offs in the textile sector. The article concludes with some of the lessons learned in these campaigns.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.016 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 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".