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Record W3192375739 · doi:10.1177/26326663211021586

Materialization of racialized surveillance: Lived experiences of home imprisonment

2021· article· en· W3192375739 on OpenAlexaffabout
Subhah Wadhawan

Bibliographic record

VenueIncarceration · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSecuritizationImprisonmentRacializationCriminologySociologyCorporate governanceRace (biology)Political scienceGender studiesBusiness

Abstract

fetched live from OpenAlex

Racialization, surveillance, and securitization may be distinct theoretical concepts, but they are nevertheless significantly intertwined. Race, as a mode of thinking and governance, largely informs the practices of securitization, whereby surveilling racialized bodies is an immanent task of the securitization process. To demonstrate this relationship, I interviewed three of the men from the infamous Canadian “Secret Trial 5” Security Certificate cases and their family members. I investigate their lived experiences of home imprisonment, examining how their home became a key site for the operation and deployment of racialized surveillance. Their experiences illustrate how surveillance emerges as a practice of securitization, where racialized “Others” are reaffirmed as threats to and subjects of unfettered surveillance practices. As the only research endeavor to interview Canada’s security certificate detainees and their families, this article demonstrates how securitization materializes through the transformation of the home into a prison; this is achieved through the imposition of carceral practices and a penal architecture within the home and through eroding belonging and safety for the people living under this type of regime. Moreover, given that most studies focusing on the experiences of securitization are restricted to the experiences of the incarcerated individuals, these studies often exclude, and by extension, silence the voices of the families also touched by these processes. Thus, this article illuminates that, albeit, in different magnitudes, families also undergo the pains of imprisonment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.836

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.330
Teacher spread0.305 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2021
Admission routes2
Has abstractyes

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