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Record W2884467002 · doi:10.26522/ssj.v12i1.1630

Flickering Presence: Theorizing Race and Racism in the Governmentality of Borders and Migration

2018· article· en· W2884467002 on OpenAlex
David Moffette, William Walters

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueStudies in Social Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsGovernmentalityBiopowerRacismRace (biology)ScholarshipSociologyTypologyGender studiesPolitical sciencePoliticsLawAnthropology

Abstract

fetched live from OpenAlex

Analytics of biopolitics and government have proven to be powerful tools in a growing scholarship examining the bordering, surveillance, securitization and contestation of migratory processes. Yet the critical potential of such research is hampered by the rather limited ways it has managed to make sense of race and racism. While Foucault was insistent that governmentality should orient itself to the understanding of singularities, too often race appears, when treated at all, as a general phenomenon. This article makes two contributions aimed at addressing these shortcomings. First, we survey studies in the governmentality of migration and develop a typology of what we call framings of race – the ways that race appears, is mobilized, or haunts this scholarship. Second, we look to recent debates about race and racism in Science & Technology Studies for useful theoretical innovations that might help us study border- and race-making as mutually constitutive processes.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.981

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 studies0.0010.001
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 head0.054
GPT teacher head0.435
Teacher spread0.381 · 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