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Record W2014949575 · doi:10.1080/15575330903091738

The Emergence of a New Social Movement: Social Networks and Collective Action on Water Issues in Guelph, Ontario

2009· article· en· W2014949575 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Development · 2009
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCollective actionSocial movementSociologyAction (physics)Resource mobilizationSocial changeMovement (music)Social movement theoryMobilizationPublic relationsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

For new social movement theorists, changes in Western capitalist societies brought about by the transition from an industrial to a post-industrial era are fundamental to understanding the formation, structure, and operation of new social movements. Using observational and interview data from a 2008 World Water Day rally, this article draws on and examines theoretical contributions of New Social Movement theorists Alain Touraine, Alberto Melucci, and Claus Offe to inform an exploration and analysis of growing collective action on water issues in Guelph, Ontario. The authors argue that growing citizen engagement in water issues in Guelph and area, operating primarily through loosely organized informal social networks, represents growing collective action that constitutes a vibrant New Social Movement. So conceptualized, the authors discuss implications for theoretical understandings of citizen mobilization in general and for the strengthening of collective action on water itself.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.995

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 studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.151
GPT teacher head0.433
Teacher spread0.282 · 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