Bibliographic record
Abstract
In 2014, Canada introduced sweeping reforms to its Temporary Foreign Worker Program (TFWP) that significantly heightened the precarity of migrant workers. A decade later, new policy changes have emerged, this time, alongside a damning United Nations report accusing Canada of enabling modern slavery through its treatment of its temporary foreign workers. This paper argues that Canada’s long standing prioritization of economic growth consistently eclipses its proclaimed commitment to human rights, reducing migrant workers to disposable labour units rather than rights-bearing individuals. Tracing the trajectory of the TFWP over the last decade, this paper examines the 2014 reforms, the classification of low-wage migrants as ‘essential’ during the Covid-19 pandemic, and the 2024 rollback of those pandemic-era measures. At the heart of the analysis lies a central question: Do the 2024 policy changes represent a continuation of Canada’s prioritization of economic growth, or, in the face of international condemnation, do they signal a potential towards a more just, human-rights-oriented approach to labour migration?
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 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 | 0.012 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".