Bibliographic record
Abstract
Abstract This article examines the state of Canadian refugee law since the decision of the Supreme Court in Febles v Canada (Citizenship and Immigration) [2014] 3 SCR 431. Drawing upon an analysis of a set of decisions of the Immigration and Refugee Board, the administrative tribunal tasked with refugee status determination in Canada, the article seeks to determine whether administrative decision makers are heeding the guidance of Febles when excluding asylum seekers from refugee protection on the basis of serious criminality pursuant to article 1F(b) of the 1951 Convention relating to the Status of Refugees. In doing so, it examines the controversy around article 1F(b) since its inception across various jurisdictions and amongst academic commentators, situating Febles within that controversy in order to demonstrate that the Supreme Court’s reluctance to clearly set out the purpose underlying article 1F(b) is in step with a longstanding tendency to understand the provision as serving a gatekeeping function, that prevents criminalized non-citizens from obtaining membership in our society. It argues that by omitting to set out a clear and principled standard by which asylum seekers can be excluded from refugee protection pursuant to article 1F(b), the Supreme Court failed to live up to a thick understanding of the rule of law. It concludes by calling for a reassertion of the rule of law into exclusion decision making, both nationally and internationally, in order to ensure that the legitimacy of the international refugee law regime is maintained.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.044 | 0.033 |
| Scholarly communication | 0.020 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.011 |
| 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".