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Record W2136318834 · doi:10.1145/2132176.2132188

Revolutionaries will not be friended

2012· article· en· W2136318834 on OpenAlex
Danielle LaFrance, Lisa P. Nathan

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the 2012 iConference · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIdeologySocial capitalSociologyPublic relationsPoliticsWork (physics)Social movementAction (physics)Frame (networking)Frame analysisKnowledge managementPolitical scienceComputer scienceEngineeringSocial scienceTelecommunicationsLawContent analysis

Abstract

fetched live from OpenAlex

Why would a revolutionary work to frame herself in a commercially owned window, allowing anyone, from her family to the police, to scrutinize, monitor, and judge her relationships? This project provides a critique of commercial social networking technologies as an organizational tool for social movements. The authors deepen past critiques through an analysis of three concepts related to anti-statist movements and community: semiocapitalism, precarious labour, and social capital. Secondly, various ways in which the notion of 'community' has been leveraged as a social networking instrument are explored. Finally, these conceptual investigations are applied to recent political action in Egypt and Canada. The work calls out the systemic tensions and ideological functions that result from using commercially owned social networking tools to support revolutionary social movements.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.309
Teacher spread0.255 · 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