Bibliographic record
Abstract
This article critically examines how disability discrimination manifests within the immigration systems of Canada, the United States, the United Kingdom, and Australia. Despite Canada's reputation as a welcoming nation, the article argues that its points-based immigration system perpetuates ableist notions, treating disabled immigrants as economic burdens. The analysis explores the historical context of Canada's immigration system, its impact on disabled immigrants, and draws comparisons with other nations. The examination of the United States reveals discriminatory practices and ableist language, while the United Kingdom's points-based system emphasizes economic contribution, hindering disabled immigrants' integration. In Australia, despite having an anti-discrimination act, disabled immigrants face barriers, including detention. The article concludes that these countries, despite differing immigration systems, share a commonality in excluding disabled immigrants based on eugenic and ableist ideologies rooted in neoliberal democracies. Overall, the points-based systems, intended to eliminate biases, inadvertently reinforce discrimination against disabled individuals, highlighting the need for a more inclusive approach to immigration policies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".