The Montoya Case: How Neoliberalism Has Impacted Medical Inadmissibility in Canada and Transformed Individuals with Disabilities into "Citizens Minus"
Bibliographic record
Abstract
In this paper, I read the narrative developed by mainstream media in the Montoya case in the context of a dominant neoliberal understanding of the worth of persons with disabilities in Canadian society. I argue that the way newspapers framed the story of the Montoya family feeds into the neoliberal script of who counts as a human being, and thus results in a disservice to individuals with disabilities. I also situate the case in a broader historical context as I examine a few court cases, all including dependents, related to the medical admissibility provision. My goal is to demonstrate how the courts have validated the state argument that distinguishes between valuable (read economically profitable) and non-valuable immigrants, further entrenching the neoliberal discourse of who counts and who is disposable in our society. This is a concerning trend that results in the commodification and layering of citizenship and should be resisted.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.050 | 0.021 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".