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Record W2589092534 · doi:10.4324/9781315444802

Bureaucracy, Law and Dystopia in the United Kingdom's Asylum System

2016· book· en· W2589092534 on OpenAlexaboutno aff
John R. Campbell

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsDystopiaBureaucracyKingdomLawPolitical sciencePolitics

Abstract

fetched live from OpenAlex

The central concern of this book is to find answers to fundamental questions about the British asylum system and how it operates. Based on ethnographic research over a two-year period, the work follows and analyses numerous asylum appeals through the British courts. It draws on myriad interviews with individuals and a thorough examination of many state and non-state organizations to understand how the system works. While the organization of the book reflects the formal asylum process, a focus on specific legal appeals reveals the ‘political’ factors at play as different institutions and actors seek to influence judicial decision-making and overturn/uphold official asylum policy. The final chapter draws on the author’s ethnographic findings of the UK’s ‘asylum field’ to re-examine research on the Refugee Determination System in the US, Canada and Australia which has narrowly focused on judicial decision-making. It argues that analysis of Refugee Determination Systems must be situated and studied as part of a wider, political, semi-autonomous ‘asylum field’ which needs to be better understood. Providing an in-depth ethnographic study of a national asylum system and of immigration law and practice, the book will be an invaluable resource for academics, researchers and policy-makers in the UK and beyond working in this highly topical area.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.950
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.296
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations42
Published2016
Admission routes1
Has abstractyes

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