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Record W4294834080 · doi:10.24908/ss.v20i3.14859

Socializing the High Policing Métier: Exploring Counterterrorism Trainings for Frontline Workers

2022· article· en· W4294834080 on OpenAlexaff
Fahad Ahmad, Jeffrey Monaghan

Bibliographic record

VenueSurveillance & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCarleton University
Fundersnot available
KeywordsSocializationSociologyScholarshipCriminologyDehumanizationEthnographyPluralPublic relationsPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Our article examines counterterrorism trainings for frontline workers as a site of socialization to the high policing métier. Here we build on the notion of the police métier as a term that encapsulates the interactive identities and practices that produce the police world. We twin the police métier with recent scholarship on pluralized policing and surveillance to illustrate how a desire to expand surveillance to plural actors requires a socialization process that recirculates key characteristics, identities, and assumptive worldviews that shape the typically reclusive domains of high policing. Through an ethnographic account of a three-day counterterrorism training workshop for an array of frontline workers, our article analyzes what we consider three key features of socialization within the high policing métier: (1) the recirculation of the “war on terror’s” racialized fixation on Muslims and Islam; (2) rationalities of preemption and expanding domains of surveillance; and (3) the sharing fraternal moments through the dehumanization of “outsiders.”

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
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 head0.111
GPT teacher head0.358
Teacher spread0.247 · 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 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

Citations5
Published2022
Admission routes1
Has abstractyes

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