A moral economy of suspicion: Love and marriage migration management practices in the United Kingdom
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article investigates how marriage migration management practices in the United Kingdom (UK) have entered the realm of security policy by relying on a moral political economy of suspicion that notably mobilizes what I call ‘technologies of love.’ The latter refers to conceptions of ‘true love’ and its manifestations that infuse the regulation of belonging through immigration controls. I argue that this economy of suspicion builds on and partakes in a governmental regulation that result in a stratification of rights. After outlining how Western romantic love has a history that cannot be uncoupled from state concerns about race and citizenship, I detail how Didier Fassin’s notion of moral economy of suspicion relates to technologies of love in the governmentality of marriage migration. Finally, I examine recent legislation and policing practices in the UK to illustrate how technologies of love can become part of judgment formation in evaluating possibly suspicious couples, notably European citizens marrying non-European citizens.
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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 | 0.001 | 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