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Record W2886631362 · doi:10.1177/2399654418791825

Embodied and entangled: Slow violence and harm via digital technologies

2018· article· en· W2886631362 on OpenAlex
Rachel Brydolf-Horwitz

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

VenueEnvironment and Planning C Politics and Space · 2018
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEmbodied cognitionHarmHarassmentInternet privacyPerceptionPower (physics)The InternetCriminologySocial psychologyPsychologySociologyComputer securityComputer science

Abstract

fetched live from OpenAlex

As embedded systems, Internet and communications technologies not only have material footprints, they exist within and maintain historically specific societal structures and power dynamics. Despite growing awareness of the ubiquity of online harassment and bullying, there remains a disconnect between the embodied experiences of technology facilitated violence and legal and social recognition of harm. Looking at a notorious case out of Nova Scotia and the anti-cyberbullying legislation it inspired, I consider the ways such violence is made visible and invisible, looking specifically at the persistent cognitive disconnect between the virtual and the corporeal, and the language that enacts or justifies such distinctions. Formed within and against persistent ontological perceptions about technology and the nature of the virtual, I elaborate on slow violence in two different registers: the differentially experienced and embodied slow violence of persistent online threats and abuse, and the slow violence of responses to those communications.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.467

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 studies0.0000.000
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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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