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Multiple Engagements and Network Bridging in Contentious Politics: Digital Media Use of Protest Participants

2011· article· en· W765492233 on OpenAlex

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

VenueMobilization An International Quarterly · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsICTSBridging (networking)Social movementPoliticsContentious politicsDigital mediaThe InternetSocial mediaPolitical sciencePublic relationsInformation and Communications TechnologyCore (optical fiber)Movement (music)SociologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Based on three series of protest surveys across nations, issues, and time, this study examines to what extent the use of digital media permits activists to sustain multiple engagements in different protest events and different movement organizations. We find that digital media use stimulates multiple activisms. Through information and communication technologies (ICTs), activists can maintain multiple engagements and manage weak ties with diverse protest and movement communities. The data also suggest that these multiple engagements and overlapping activisms effectively provide linkages to and integration within social movement networks. Core activists who are closely linked to protest organizations rely more on ICTs to manage their multiple commitments. Even activists less closely tied to core protest organizations can link to more diverse communities through Internet use. These basic patterns systematically hold across nations, across issues, and across time.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.582

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 studies0.0000.000
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 head0.120
GPT teacher head0.328
Teacher spread0.208 · 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