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Practices of Local Social Forums: The Building of Tactical and Cultural Collective Action Repertoires

2013· book-chapter· en· W2299859968 on OpenAlexaboutno aff
Pascale Dufour

Bibliographic record

VenueResearch in social movements, conflicts and change · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCollective actionPublic relationsSociologyAction (physics)SituatedPoliticsPolitical scienceAutonomyLaw

Abstract

fetched live from OpenAlex

Since the first edition of the World Social Forum in Porto Alegre, Brazil, 2001, similar initiatives have flourished at the local scales. In the existing literature, local social forums are generally considered to be a natural replication of the world social forums. Beyond the label “social forums,” what do the practices of local social forums specifically entail and what is the meaning of these practices for local activists?I propose a comparison of eight cases situated in two distinct societies (Quebec and France). I use a multi-approach methodology, combining direct observation, focus groups, interviews, and documentary analysis.I show that despite strong national differences, a highly decentralized process, and the strong autonomy of local actors, local social forums share structural characteristics, and the expression “social forum” is associated with ways of doing things that limit the variety of local social forum initiatives: organizers share a common intentionality; the mode of operation of local social forum process and event belong to the same political culture and translate into the same practices; and the outputs of these gatherings are similar in terms of the building of ties. Overall, local social forums are used as tactical and cultural collective action repertoires by actors, redefining the boundaries of social resistance and its practices.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.414
GPT teacher head0.490
Teacher spread0.076 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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