Newcomer Immigrants with Disabilities in Canada: A dissection of the ‘Problem Migrant Folklore
Bibliographic record
Abstract
While employing section 38 of the Immigration and Refugee Protection Act 2001 (IRPA) as a backdrop, this thesis aims to measure how the presence of the 'problem migrant' deconstructs the new age conception of social citizenship rights in Canada.Significant themes have arisen through the empirical data that suggest the inherent complexities of state responsibility, intricacies of accessible social resources and the absence to adopt full agency under Canada's Neo-liberal/ Universalist hybrid welfare state.While the empirical findings expose a neo-liberal and ableist welfare state agenda embodied through a restrictive immigration policy, this thesis further demonstrates the real-life repercussions for the intersectional identity of the new immigrant with a disability.The research suggests when state accountability decreases, accessibility to social rights are ceased and in turn, personal agency cannot be fulfilled leading to the creation of a second class citizenship regime, or a 'dis-citizenship' (coined by Pother and Devlin).A minority model approach is implemented to structure inclusive and progressive policy recommendations in hopes to secure social rights and bring awareness to disability issues for new immigrant communities in Canada.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.039 | 0.012 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".