Theorizing claims making across the citizenship spectrum: three case studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Within the scholarly literature, practices of claims-making by citizens and non-citizens are seldom juxtaposed, and there is limited attention to claims-making by or on behalf of stateless people. This article counters these tendencies by inductively theorizing different types of citizenship claims made by or on behalf of non-citizens, citizens and stateless people in three separate Canadian case studies. These cases are: COVID-19 era regulation of precarious migrants; citizen opposition to public health mandates and vaccines in 2022; and the pro-Palestine encampment at the University of Toronto in 2024. While drawn from Canada, the case studies have similar counterparts in other countries, and they also illuminate the relevance of theorizing claims-making in relation to the deservingness of non-citizens, the entitlement of citizens, and solidarity with stateless Palestinians. We therefore argue that status across the citizenship spectrum exerts effects on where claims are directed, and how they are articulated, performed and heard by state actors and others.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it