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Record W2375924658 · doi:10.25071/1920-7336.40380

Human Rights and Refugee Protest against Immigration Detention: Refugees’ Struggles for Recognition as Human

2016· article· en· W2375924658 on OpenAlexvenueno aff
Lucy Fiske

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigration detentionHuman rightsDehumanizationCriminologyImmigrationAgency (philosophy)NarrativeLawPolitical scienceWatsonState (computer science)SociologySocial science

Abstract

fetched live from OpenAlex

When detainees go on hunger strike or riot or occupy the roofs of detention centres, their actions are usually narrated by governments keen to discredit them and their actions as criminal and manipulative and evidence of their barbarity and difference. A secondary, counter-narration is provided by detainee supporters who explain the actions as evidence of detainees’ distress and deteriorating mental health. The voices of the actors themselves, people held in detention and taking protest action, are rarely heard in depth. Drawing on in-depth interviews with refugees formerly held in Australian immigration detention centres, and the works of Hannah Arendt, this article argues that the experience of immigration detention is fundamentally dehumanizing and that while detainee protest was aimed at attaining certain material outcomes, it also served important existential functions. The fact of protest was a rejection of a powerless state, a way for detained refugees to experience their own agency and, with it, restoration of some of the “essential characteristics of human life” and a means to use their reduction to “bare humanity” as a basis for insisting upon a place in the polis.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score1.000

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 studies0.0040.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.301
Teacher spread0.283 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations13
Published2016
Admission routes1
Has abstractyes

Explore more

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