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Record W2791730696 · doi:10.18061/dsq.v38i1.5941

The Montoya Case: How Neoliberalism Has Impacted Medical Inadmissibility in Canada and Transformed Individuals with Disabilities into "Citizens Minus"

2018· article· en· W2791730696 on OpenAlexaffabout
Valentina Capurri

Bibliographic record

VenueDisability Studies Quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArgument (complex analysis)Neoliberalism (international relations)Context (archaeology)MainstreamCitizenshipNewspaperNarrativeState (computer science)SociologyCommodificationPolitical scienceLawGender studiesPolitical economyMedia studiesMedicineHistoryLinguisticsEconomics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.007
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.358
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2018
Admission routes2
Has abstractyes

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