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Enter the myopticon: Uncertain surveillance in the Danish asylum system (Respond to this article at http://www.therai.org.uk/at/debate)

2011· article· en· W2507092258 on OpenAlex
Zachary Whyte

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

VenueAnthropology Today · 2011
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsDanishPolitical scienceMedia studiesLibrary scienceSociologyComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Asylum seekers in Europe face increasingly restrictive policy regimes across the continent. In Denmark, they are held at designated asylum centres while their cases are processed and are subject to limitations on their movement, education and employment, as well as to a degree of surveillance from both the state and the Danish Red Cross, which operates the majority of the asylum centres. While these structures are in some ways reminiscent of Foucault's panopticon, I want to suggest a counterpoint to the panopticon, which I call the ‘myopticon’ to indicate the near‐sightedness of the central surveying eye. The myopticon is a near‐sighted system of surveillance practices, knowledges and sanctions, deployed as though it were panoptic. I want to suggest that the uncertainty that has soaked through the Danish asylum system and profoundly affected the asylum seekers in it is not a byproduct of bureaucratic processing, but intrinsic to the operation of the myopticon. By drawing out points of distinction with Foucault's panopticon, I sketch the outlines of a new technology of power that has powerful consequences for the daily lives of asylum seekers in Denmark.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.006

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 head0.037
GPT teacher head0.325
Teacher spread0.289 · 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