Fighting Human Smuggling or Criminalizing Refugees? Regimes of Justification in and around R v Appulonappa
Bibliographic record
Abstract
Abstract Following the arrival of the MV Ocean Lady in 2009, four men were charged with human smuggling under s. 117 of the Immigration and Refugee Protection Act for having helped Sri Lankan asylum seekers reach Canada. Section 117 made it a criminal offence to aid and abet the unauthorized entry of asylum seekers, including when this was done for humanitarian reasons, to help family members, or as a matter of mutual aid. The case made its way to the Supreme Court and, in 2015, the court ruled in R v Appulonappa that s. 117 was too broad, potentially criminalizing humanitarian workers and family members who help transport asylum seekers, and should be interpreted in a strict manner. This article draws from pragmatic sociology to study the regimes of justification mobilized by various actors involved in, and around, R v Appulonappa between 2009 and 2015. It focuses on two sites of contestation that crystalized around divergent conceptions of fairness and safety, discussing how competing regimes of justification were used to advance stakeholder’s positions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".