Bibliographic record
Abstract
In a climate of immigration securitization, recent years have seen a global move away from humanitarian resettlement responses in sites of displacement. Instead, wealthy governments in the Global North often finance poorer third countries and rural regions of territories to abet border enforcement. The Jordan Compact, in particular, has been upheld as an economic development model that provides an “innovative alternative” to refugee camps, as well as to protracted refugee situations. Yet, as much research shows, the direct economic gains from this trade concessions scheme have been limited. This raises the question, What value does the Jordan Compact hold with such ample evidence of failure? Importantly, how is this failure experienced by refugees in practice? Drawing on fieldwork conducted in Amman and northern Jordan, this article advances a framework centred on extractivism to better detail how value is extracted from migrants and displaced persons at the expense of their well-being. The article illuminates the disjuncture between the lack of profit achieved directly from the Jordan Compact’s trade concessions and the forms of value extracted from refugees’ immobility. Overall, I argue that these economic development policies formalize precariousness, allowing the international community to abdicate global responsibility and reap the benefits of a purported altruism.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".