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Record W1556714967 · doi:10.1080/14742837.2015.1037263

Protest Camps and Repertoires of Contention

2015· article· en· W1556714967 on OpenAlex
Patrick McCurdy, Anna Feigenbaum, Fabian Frenzel

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

VenueSocial movement studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRepertoireSocial movementSociologyAction (physics)Media studiesPolitical scienceLawPoliticsArt

Abstract

fetched live from OpenAlex

Protest camps have become a prominent feature of the post-2010 cycle of social movements and while they have gripped the public and media's imagination, the phenomenon of protest camping is not new. The practice and performance of creating protest camps has a rich history, which has evolved through multiple movements, from Anti-Apartheid to Anti-war. However, until recently, the history of the protest camp as part of the repertoire of social movements and as a site for the evolution of a social movement's repertoire has largely been confined to the histories of individual movements. Consequently, connections between movements, between camps and the significance of the protest camp itself have been overlooked. In this research profile, we argue for the importance of studying protest camps in relation to social movements and the evolution of repertoires noting how protest camps adapt infrastructures and practices from tent cities, festival cultures, squatting communities and land-based autonomous movements. We also acknowledge protest camps as key sites in which a variety of repertoires of contention are developed, tried and tested, diffused or sometimes dismissed. To facilitate the study protest camps we suggest a theory and practice of ‘infrastructural analysis’ and differentiated between four protest camp infrastructures: (1) media & communication, (2) action, (3) governance and (4) re-creation. We then use the infrastructures of media and communications as a brief example as to how our proposed infrastructural analysis can contribute to the study of repertoires and our understanding of the rich dynamics of a protest camp.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.290
GPT teacher head0.440
Teacher spread0.150 · 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