Multiculturalism and Low-Skill Temporary Foreign Work: Bridging the Policy Gap? A Negative Influence on Canadian Society
Bibliographic record
Abstract
Canada’s Temporary Foreign Worker Program (TFWP) has been the focus of much public discourse in recent years. This discourse focuses heavily on labour market concerns and often does not encapsulate the program’s effect on Canada’s social society. This paper explores this social impact in greater detail, especially the significance of the program’s expansion to include low-skill work. I find that the use of the program has negatively impacted Canadian perceptions of immigration because its use challenges the fundamental framework of Canada’s successful immigration and multiculturalism policies. Further, it is indicative of an unofficial shift away from long-run immigration towards employer-driven immigration without public approval. These findings are evidenced in a number of specific policy analyses, such as Canada’s Family Reunification policies and Foreign Credential Recognition (FCR).
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".