A necessary complement to human rights: a human security perspective on migration to Europe
Bibliographic record
Abstract
Today many European citizens and many migrants into Europe live under fear and anxiety. Existing political structures dichotomize the two sets of insecurities and so contribute to perpetuate them. The insecurity of citizens is seen as attainable independent of and despite the insecurity of migrants, rather than as part of a common (shared) human security. In response, this essay presents ideas from human security analysis, as a partner, complement and extension of human rights thinking in relation to migration. It is argued that such an analysis, with concrete practical options, can contribute to the creation of structures through which interdependency of EU citizens’ security and that of migrants is recognised and upheld. Section 2 outlines the migration crisis that has been felt in Europe and some reasons behind it. Section 3 considers the responses of securitization of migration and militarization at the EU’s southern borders, and of supplementary humanitarianism. We analyse why the EU migration policy system, conceived outside of a conception of common human security, produces negative feedback and is counterproductive. In Section 4 we argue in general terms why human security analysis is a required partner to human rights thinking and practice. Section 5 then concretely suggests how a human security perspective could help to frame, balance and extend human rights analysis and contribute in migration policy and practice. These suggestions include generating legal channels for migration, addressing the conceptual confusions revolving around migration through introducing a more comprehensive concept of ‘protection-seeker’, developing a European-wide regularisation mechanism, using human security as a meta-legal figure in migration cases, and developing a perspective that combines human rights criteria with enlightened self-interest. Finally, Section 6 discusses the partial reflection of such a perspective in the 2018 Global Compact on Migration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.027 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".