Human Rights, Migration, and Social Conflict: Toward a Decolonized Global Justice. By Ariadna Estevez.
Bibliographic record
Abstract
The main argument presented in Ariadna Estévez’s critical analysis of the causal relationship between globalization, migration, and social conflict is as follows: since failure to respect the universal human rights of immigrants generates conflict in receiving and transit nations, recognizing human rights would be in the best interest of sending, receiving and transit countries alike. Estévez’s analysis is based on a comparison of certain elements of North American (the three NAFTA countries of the USA, Canada and Mexico) and European (European Union and individual member states) immigration policy that result from discrimination against immigrants, in particular the securitization of cooperation for development and borders, the use of temporary detention centres, the toughening of asylum policy, the criminalization of migration and the social marginalization of immigrants. Following Giddens, Estévez argues that conflict is the predictable but not inevitable result of the structuration relationship between globalization and migration. In turn, three main conceptual frameworks underpin her analysis: firstly, De Genova’s conceptualization of illegality as being constituted by legal apparatuses that produce conditions which serve to maintain the vulnerability and control of immigrants rather than as situations inherent to undocumented migration; Coutin’s theory of illegality as a space of nonexistence; and Honneth’s theory of intersubjective recognition. Based on case examples from the North American and European countries included in the analysis, the normative possibilities for the recognition of immigrants are evaluated through the lenses of citizenship and universal human rights. As citizenship includes a historical tendency to exclusion, the normative proposal is based on human rights understood not from a hegemonic or liberal perspective but as part of an intertextual conceptualization. The latter forms the basis for the normative proposal of a decolonized global justice.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".