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Record W3000429274 · doi:10.24908/ss.v17i5.13521

Mainstreaming Colonial Experiences in Surveillance Studies

2019· article· en· W3000429274 on OpenAlex
Midori Ogasawara

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

VenueSurveillance & Society · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsColonialismModernization theoryPolitical sciencePolitical economySociologyLaw

Abstract

fetched live from OpenAlex

Decolonizing surveillance studies is an urgent task, needed to comprehend the unequal impacts of surveillance technologies in the past, present, and future. I discuss three aspects of research in comparison: technological novelty versus past experience, nation building versus colonization, and test versus initial operation of technology. Overall, I argue for the significance of colonial narratives that illustrate the early and severe, often violent experiences of surveillance that tend to be historically underestimated or politically concealed. First, scholarly work has been attracted to technological novelties of digital surveillance. But to grasp the social implications of surveillance, the historical background of technology offers a genealogical thread, and the past awaits as a rich repository to be discovered. Second, previous studies have drawn plural origins of modern surveillance from Western civilization. But modern nation building and colonialism should be examined together in research, rather than separating them and placing nation building as central to modernization while placing colonialism as a side effect or exception of modernization. Such a separation fails to grasp the experiences of modern surveillance as a whole because nation-state is all too often colonial nation-state. Lastly, I question the prevailing concept of a “boomerang effect,” meaning that Western countries first test out harmful techniques on colonies, but soon these techniques come home. This boomerang effect view centers on the West. A “test” of surveillance technology targeted a group of people for its own purpose, and the systematic practice of surveillance left irreversible effects in colonies. Those effects immensely contributed to today’s foundation of global political economy as an ongoing process of technological dominance of the Global North over the South. To decolonize surveillance studies, it would be better to discuss the global experiences of surveillance in the frame of unequal distribution and outcome of technology.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.709

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 studies0.0000.001
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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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