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Record W2338957938 · doi:10.1177/1357034x16643169

Surveillance and Embodiment

2016· article· en· W2338957938 on OpenAlex
Martin French, Gavin Smith

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

VenueBody & Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsConcordia University
Fundersnot available
KeywordsNexus (standard)SociologyIntermediationPoliticsEpistemologyEveryday lifeFocus (optics)AestheticsComputer sciencePolitical scienceBusinessLawPhilosophy

Abstract

fetched live from OpenAlex

This article provides an introduction to a special issue of Body & Society that explores the surveillance--embodiment nexus. It accentuates both the prevalence and consequence of bodies being increasingly converted into ‘objects of information’ by surveillance technologies and systems. We begin by regarding the normalcy of body monitoring in contemporary life, illustrating how a plurality of biometric scanners operate to intermediate the physical surfaces and subjective depths of bodies in accordance with various concerns. We focus on everyday experiences of bodily intermediation by surveillant dispositifs, and consider the broader political, epistemological, and ontological significance of these processes. We then point to the substantive intersections and divergences existing between body and surveillance studies. We conclude with an overview of the five articles appearing in this special issue. We describe how each contribution creates a template for imagining what a body is, and what a body might become, in a culture defined by proliferating data sharing behaviours, systems of codification, and practices of intermediation.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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