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Record W3087765352 · doi:10.1080/10464883.2020.1790939

Between Borders and Bodies: Revealing the Architectures of Immigration Detention

2020· article· en· W3087765352 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Architectural Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsImmigrationSecrecyStudioGovernment (linguistics)Representation (politics)NarrativeSociologyLawVisual artsPolitical sciencePoliticsArtLinguistics

Abstract

fetched live from OpenAlex

Canada has adopted stricter immigration policies within the last thirty years, which criminalize forced migrants. This has resulted in the construction of immigration holding centers (IHCs), buildings built exclusively for the detainment of undocumented individuals. As part of a directed design studio research project, the Laval IHC in Quebec, Canada, was examined by reconstructing government-issued design guidelines obtained using public access to information requests. The resultant project employs architectural documents as evidence to rebuild the interior spaces of the building through conventional tools of architectural representation, such as drawing, photography, and physical and computer modeling. By unveiling architectures shrouded in secrecy, this article illustrates how the design of these infrastructures legitimizes the narrative that undocumented migrants are “illegal” and should be incarcerated.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.028
GPT teacher head0.358
Teacher spread0.329 · 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