In or against the state? Hospitality and hostility in homelessness charities and deportation practice
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it