Examination and Design Considerations of the Refugee Applicant Experience From Within Canada
Bibliographic record
Abstract
This study investigates the refugee experience for in-land applicants in Canada, with results suggesting that their experiences may be influenced by the design of associated processes and environments that refugee applicants encounter.The path a refugee applicant follows in their quest for stability and security can be long and comprehensive.This investigation of refugee experience in relation to design includes their application for asylum in Canada, up to their tribunal hearing for refugee status.Although the interactions with the tribunal space and associated environments represent only a few touch points in the experience of the application process, this study documents how the design of tribunal spaces and associated processes may be impacting the refugee applicant's experience, from the perspective of stakeholders working with or on the behalf of refugee applicants.Due to the potentially traumatic experiences refugee applicants may have encountered, the investigation of these "closed environments" documents the perspectives of subject matter experts working closely with refugee applicants and experts who specialize in design related to this field.Future, more comprehensive studies should move beyond this review to include the first-hand perspective of refugee applicants.This study provides insight on the possible influence of judicial government environments and associated spaces on applicant experiences while receiving legal, social and economic support.A review of these environments, their design and the influence of the design from the perspectives of subject matter experts led to the development of a framework for understanding the potential impact of these space types and associated processes.The analysis also resulted in physical or systematic recommendations to improve the experience of refugee applicants in Canada.At a broader level, this study aims to provide a context for future policy and design development.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.026 | 0.008 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".