Report and deport: Public vigilance and migration policing in Australia
Bibliographic record
Abstract
Recent escalations in migration control involve the criminalization of non-citizens. In assessing this punitive turn criminologists have highlighted drastic expansions in state sovereignty and coercion. Focusing on the Australian context, this article examines a less noticed trend: the civilianization of migration policing. To facilitate irregular migrants’ removal the government has created tip-lines that encourage private citizens to conduct surveillance and anonymously ‘dob-in’ or report unlawful non-citizens. Approaching the initiative as a distinct responsibilization strategy that enrolls the entire citizen body as policing agents, this article explores its instrumental and symbolic goals, whether expanding official gazes or restoring an exclusive sense of national citizenship. Assessing the functions and effects of public vigilance reveals important tensions and ambiguities within the responsibilization process. In particular the case of participatory surveillance demonstrates how ‘adaptive’ approaches to order maintenance are not external to, but potentially promote and perpetuate, punitive forms of sovereign power.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".