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Record W2612900533 · doi:10.24908/ss.v15i1.6305

The Life of a Gunshot: Space, Sound and The Political Contours of Acoustic Gunshot Detection

2017· article· en· W2612900533 on OpenAlexaff
Andrew Merrill

Bibliographic record

VenueSurveillance & Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSound (geography)Power (physics)Agency (philosophy)PoliticsSpace (punctuation)SociologyAcousticsPolitical scienceLawComputer sciencePhysicsSocial science

Abstract

fetched live from OpenAlex

This article examines the implications of acoustic gunshot detection systems for the role of sound and nonhuman agencies in Surveillance Studies and their relationship to broader modes of power. This is done by examining the role of a ShotSpotter Flex Incident Report in the case of DeOnté Rawlings, a 14-year old black child shot and killed by an off-duty police officer in Washington, D.C. Through this case, this article traces the diagrams of power that imbricate this surveillance system within structural racism. In focusing on the material particularities of acoustical surveillance systems, like ShotSpotter Flex, this work also reconsiders the role of the visual in surveillance systems and Surveillance Studies. This article argues that these new configurations of sound and nonhuman agency offer a particular value to understanding the contemporary entanglement of surveillant mediums and broader regimes of power.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.005
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 head0.020
GPT teacher head0.312
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations14
Published2017
Admission routes1
Has abstractyes

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