Bibliographic record
Abstract
By challenging the state's prerogative to distinguish between insiders and outsiders, citizens and non-citizens, political movements by and in support of migrants and refugees are forcing questions about what criteria, if any, can and should be used to determine who can claim membership in the political community. To illustrate the complexity of this politics this article analyzes the major demand that underscores every campaign undertaken by non-status refugees and migrants in Canada: a program that would allow them to "regularize" their status. Notably, these campaigns are being directed at both the state and city levels of governance. Together, these are two sites in which claims and counter-claims about community, belonging, and citizenship are being made by, for, and against non-status immigrants. In each case, migrant political agency is asserted in places meant to deny, limit, or repress it. The article argues that the significance of these sites is that they allow for non-status refugees and migrants themselves to act as mediators or translators between the city and nation, between polis and cosmopolis.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.035 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".