Pursuing permanence: former international students’ trajectories to permanent residency in Canada
Bibliographic record
Abstract
This exploratory study investigates former international students’ experiences pursuing permanent status with the use of primary data from interviews with five individuals. Guided by the question, “what characterizes former international students’ trajectories to permanent residence” and based on the understanding that discourses of exclusion and control inform immigration policies today (Fobear, 2014), personal experiences are explored as realities of temporariness in which subjects are contained by the following forms of regulation: time limits, employment specificity, and temporary legal status. Anthony Giddens’ structuration theory is employed to showcase participants as “knowledgeable” (Sewell, 1992:4) and reflexive agents (Turner, 1986); how they persevere and negotiate their way to permanent residence by enacting creative strategies and enduring the emotional labour that characterize their search for and securing of ‘skilled’ employment while mitigating the immediate need for income, in reframing their mindsets and in their reflections upon the meaning of their pursuits for permanence.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".