Counter-hegemonic Human Rights Discourses and Migrant Rights Activism in the US and Canada
Why this work is in the frame
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Bibliographic record
Abstract
Scholarship on the dissemination of human rights norms and principles has focused predominantly on the socialization of nation-states into the values which have been widely endorsed. I argue in this article that the socialization mechanisms, discussed by such scholars as Meyer et al. (1997) and Risse and Sikkink (1999), do not capture the complex processes of the negotiation of more controversial rights. Distinguishing between hegemonic and counter-hegemonic human rights principles, I suggest that we need to explore the ways in which human rights activists advance, interpret, and negotiate counter-hegemonic human rights. Focusing on migrants' rights advocacy in the US and Canada, I argue that pro-migrant activists draw on other human rights principles that do enjoy a greater degree of recognition and/or on instrumental reasons to pressure nation-states to grant more rights to migrants.
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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 | 0.000 | 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 it