The Travels and Transformations of ‘Vulnerability’: From an Ethical and Analytical Concept to a Legal and Bureaucratic Label
Bibliographic record
Abstract
Abstract This chapter unpacks the implied meanings of the concept of ‘vulnerability’, and how they evolve depending on the conceptual frameworks in which ‘vulnerability’ is used and mobilised. It tracks down and confronts the various functions that ‘vulnerability’ has received in the academic literature and in EU asylum law, in view of identifying its conceptual transformations as it travels across the ethical, heuristic, and legal and bureaucratic frameworks. Based on that analysis, the chapter warns against the ‘humanitarianism trap’, that is, developing ‘vulnerability’ as a tool for asylum and migration governance while adopting an excessively emotional and moralised outlook on migration movements, which essentialises migrants seeking protection as passive victims, fails to build on their coping and resistance strategies, and ultimately loses track of their rights.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".