Canadian Refugee Policy and the Social Construction of the Refugee Claimant Subjectivity: Understanding Refugeeness
Bibliographic record
Abstract
This paper introduces a theoretical framework to fill a gap in our understanding of refugeeness. Based on material gathered from a series of interviews undertaken as part of an exploratory study completed in Montreal, Canada, refugee claimant subjectivity is empirically explored by examining the social construction of refugees' subjectivity in three major spheres of life: work, family and state. Within this theoretical perspective two linked research questions are addressed, namely: (1) What is the impact of refugee policy on refugee claimants? and (2) How is their subjectivity altered by the refugee determination process? The objective is to understand the impact of a particular discourse on an individual's subjectivity in relation to that discourse. Refugee claimant subjectivity is analysed through those conscious thoughts and emotions expressed by subjects, their way of understanding their refugee claimant subjectivity and their social world, in large part defined by Canadian refugee policy.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.029 | 0.042 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.008 |
| 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".