Flagpoling: Inter‐provincial Mobility of International Migrants within Canada’s Temporary Foreign Worker Program
Bibliographic record
Abstract
Abstract The temporary foreign worker programme (TFWP) is widely used in many sectors in Canada. Research on the TFWP in Canada has documented multiple types of abuse within the programme, often related to worker lack of access to citizenship and social benefits. Less is known about how mobile and often precarious migrant workers are able to navigate negative, challenging situations identified within the Canadian literature. Flagpoling, a process used by international migrants in Canada to gain mobility in situations where their movement may be constrained, is not talked about in the mobilities and labour agency literature. Drawing from a case study of migrant workers in Atlantic Canada's seafood processing plants, this paper pulls together the mobilities, labour agency and precarity literature to explore how migrant workers are able to extradite themselves from workplaces that are less than ideal and better position themselves towards gaining citizenship status.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".