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Record W4313321554 · doi:10.24908/ss.v20i4.16149

Revitalizing Dissent: Imperatives for Critical Surveillance Inquiry

2022· article· en· W4313321554 on OpenAlexaff
Torin Monahan, David Murakami Wood

Bibliographic record

VenueSurveillance & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDissentDissenting opinionInjusticeDisinformationOppressionSociologyPrecarityEnvironmental ethicsCritical management studiesCapitalismPolitical scienceField (mathematics)Critical legal studiesSocial mediaPolitical economyLawSocial sciencePolitics

Abstract

fetched live from OpenAlex

In this introduction to Surveillance & Society’s twentieth anniversary issue, we reflect on the journal’s role in the formation and maturation of the field and on some of the many areas in need of further study and intervention. In keeping with one of the journal’s original objectives of “encouraging debate and dissent,” we argue that it is imperative that the field reaffirm this dissenting posture. Such dissent would be primarily critical and decolonial, and it would concentrate its energies on correcting social and environmental problems. Some of the areas in need of more intensive critical inquiry are 1) surveillance / platform / data capitalism, 2) war and conflict, 3) disinformation and media manipulation, 4) racial injustice and carcerality, 5) intersectional violence and oppression, and 6) environmental crises and climate collapse. Fortunately, as many of the recent publications in the journal affirm, scholars are already moving in these directions, and we, as editors, are doing everything we can to support such critical work and the academics producing it.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
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 head0.044
GPT teacher head0.385
Teacher spread0.340 · 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.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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