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Record W4244144346 · doi:10.32920/ryerson.14665584

An Excessive Demand: Immigrants with Disabilities and Medical Admissability in Canada’s Immigration System

2021· preprint· en· W4244144346 on OpenAlexaffabout
A. Penner

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsImmigrationSettlement (finance)RefugeeImmigration policyPolitical sciencePerspective (graphical)Economic growthDemographic economicsBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

This paper explores barriers to immigration and settlement for people with disabilities attempting migration to Canada. Existing literature on immigration and disability in Canada supplements the stories of three immigrant women with disabilities who shared their experiences of immigration and settlement in loosely structured interviews. This paper draws upon a critical disability studies perspective to emphasize the ways in which immigration policies and practices limit access, particularly the excessive demands provision of the Immigrant and Refugee Protection Act (IRPA). A gendered analysis is employed to recognize the specific experiences of women with disabilities immigrating to Canada. This paper finds that the barriers faced by immigrants with disabilities extend beyond the excessive demands provision into other policies and practices that fail to address the intersection of disability and immigration status, and that immigrants with disabilities develop alternative approaches and resistive strategies in navigating their lives during and post-migration.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.018
GPT teacher head0.308
Teacher spread0.290 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2021
Admission routes2
Has abstractyes

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