Exploring Canadian Legal Policies and its Impact on the Status Acquisition Process of Stateless Individuals in Canada
Bibliographic record
Abstract
Over ten million of the world's population live without nationality. Canada reproduces stateless individuals by failing to protect stateless individuals from Canada and the individuals who arrived in Canada without nationality from the country of origin due to the limitations of the laws. Canada introduced status acquisition pathways that grant legal status by considering unusual hardship and exceptional cases, but these incorporate limitations of the Canadian legal practices. The required identification documents, long processing time, expensive application fees and legal procedures based on discretionary power make it impossible to protect stateless individuals. The three legal instruments, the Citizenship Act subsections 5(4), 5(5) and the Immigration and Refugee Protection Act subsection 25(1), may reproduce statelessness. Therefore, it is necessary to understand the legal aspects and move beyond the legal aspects when implementing and exercising policies as they directly affect the daily lives of stateless individuals.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.023 | 0.008 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".