Super Visa Program: Immigration Policy Changes and Social Injustice under the Neoliberal Governmentality in Canada
Bibliographic record
Abstract
Abstract: In November 2011, Citizenship and Immigration Canada paused the parents/grandparents (PGP) sponsorship immigration and announced a new Super Visa program simultaneously to facilitate family reunification, specifically among older adults waiting to be reunified with their children in Canada. We conducted a qualitative study to understand the experiences of immigrant families with the Super Visa Program. In total, 19 semi-structured interviews were conducted in Toronto with Chinese immigrants and parents holding a Super Visa. Our findings revealed that Super Visa program is helpful for family reunification, especially for those whose regular visa applications are not successful. However, Super Visa is still a visitor visa and parents/grandparents have to leave after a maximum of two years. This temporary status of their parents does not promote among immigrants a sense of belonging in Canada, but reinforces their feeling of being treated as “foreigner”. They also debunked the stigma that older parents/grandparents come to Canada for better welfare and are non-contributor and a burden to Canadian society. We observe older parents/grandparents are categorized as “undesirable” and their unpaid contributions to immigrant family and Canada society are rendered invisible. We argue there exits an inherent link between PGP policy changes and social injustice. Behind the negative portrayal of older parents/grandparents and policy changes on them is State’s neoliberal governmentality grounded upon market norms and mechanism. The immigration and social injustice inflicting on older PGP migrants manifests that neoliberal immigration regime is still structurally raced, gendered, classed, and may be intertwined with other stigmatizing dynamics such as ageist, ableist etc. within the State’s power relationship.
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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 | 0.022 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".