In or against the state? Hospitality and hostility in homelessness charities and deportation practice
Bibliographic record
Abstract
Abstract This paper examines how deportation became a solution to rough sleeping in pre-Brexit England. It identifies relationships between the social regulation of vulnerable and marginalised adults, contemporary governance arrangements and bordering practices characteristic of Britain's ‘hostile environment’. Drawing on media reports and grey organisational literature, the focus of discussion is events across 2015–2018 in which three London-based charities were criticised for working with the Home Office to deport homeless migrants under its European Economic Area Administrative Removal policy. The overall tenor of criticism was that collaboration with the government compromised the organisations’ independence and charitable missions and aims. This diminished their capacity to both advocate for vulnerable adults and effectively challenge oppressive state practices. The paper observes how state and nonprofit relations structure institutional and socio-legal responses to marginalised and ‘othered’ adults through commissioning and contracting mechanisms. It demonstrates that the social and legal control of homeless migrants may be differently constituted by institutions delivering services in relation to citizenship, vulnerability and marginalisation. This analysis incorporates a broader appraisal of institutional motivations, values and beliefs in social welfare delivery, including the historic role of charitable agencies in the criminalisation of social welfare users. Taken together, the paper offers an interdisciplinary critique of the relationships between border control, neoliberal governance and the sociocultural and historic construction of homeless migrants.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".