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Record W4396846296 · doi:10.1093/jrs/feae033

Disciplining subjectivity in Australian migrant deterrence campaigns

2024· article· en· W4396846296 on OpenAlex
Helena Zeweri

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Refugee Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSubjectivityDeterrence (psychology)Political scienceSociologyDeterrence theoryGender studiesCriminologyLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article examines public information campaigns designed to deter asylum seekers from entering Australia via boat. Through analysing the institutional context and content of a graphic novel that was circulated within Afghan Hazara communities in 2014, I show that certain Australian public information campaigns mobilize an ethos of cultural sensitivity rooted in ethnographic data-gathering projects that reinscribe migrants as ignorant and socially deviant subjects. Such campaigns both situate Australia as an impossible destination and render migration a dangerous, futile act that will bring further misfortune to migrants’ families. The Australian case shows that in contexts where cultural sensitivity and externalized border control simultaneously guide migration policy, cultural knowledge becomes weaponized not only to keep migrants immobile but also to discipline migrant subjectivity and ultimately exclude them from pathways to refuge.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.065
GPT teacher head0.420
Teacher spread0.355 · 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