Litigation is “Just One Tool”: An Annotated Interview with Karin Baqi, Counsel for the End Immigration Detention Network in Brown v Canada
Bibliographic record
Abstract
The End Immigration Detention Network (EIDN) was formed as a coalition of migrant detainees, their family members, and allies, who organized to bring an end to indefinite immigration detention in Canada. In October 2016, EIDN was granted third party public interest standing in a constitutional challenge to Canada’s immigration detention regime. This granted an unprecedented legitimacy to EIDN, and to the rights and lives of immigration detainees, and should in itself be considered a victory. That said, it was a moment that would not have arrived without the three years of intensive political organizing that came before it. This article attempts to situate the legal challenge within the broader context of the campaign to end indefinite detention, examine the ways it interacted with the goals of the network, and explore the implications of using litigation as a tool for social change.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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".