You're not welcome here: examining the intersections of migration and neoliberal immigration policy in Canada
Bibliographic record
Abstract
This analysis examines the intersections of migration and neoliberal immigration policy in Canada through a political economy lens. It looks particularly at the increasing phenomenon of human smuggling and it asks how the emergence of neoliberalism has shaped Canadian immigration policy and how has this impacted working peoples’ lives and forced them to become migrants. Canada increasingly treats migrants with suspicion and seeks to prevent the less “profitable” ones from entering. Today’s policies are the result of a historical process of entrenching a North-South divide as some sort of unavoidable truth, and the fruits of the global North as requiring protection from “needy” and “lazy” poor in the global South. It is this paradigm which the following analysis seeks to problematize and deconstruct by examining the historical roots of the North-South divide.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".