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Record W7118546343 · doi:10.1007/s11406-025-00887-w

Social Movements as Agents of Change?

2025· article· en· W7118546343 on OpenAlexafffund
Agnes Tam

Bibliographic record

VenuePhilosophia · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicFeminist Epistemology and Gender Studies
Canadian institutionsUniversity of Calgary
FundersUniversity of AlbertaUniversity of LethbridgeQueen's UniversityMcGill University
KeywordsSocial movementArgument (complex analysis)ScholarshipNarrativeAgency (philosophy)Collective actionPoliticsContentious politics

Abstract

fetched live from OpenAlex

Abstract An increasing number of philosophers have argued that social movements as a form of contentious politics are apt agents of change. Given their contentious mode of communication, social movements are said to be more inclusive of the oppressed and effective in disrupting pernicious ideologies. This paper challenges the current overly optimistic and simplistic assessment of aptness. The core argument is that social movements are not just a form of practical contention but also a form of practical narration. As such, whether a movement fosters progress or regression depends crucially on the quality and content of the narration in which it is embedded. My argument proceeds in three steps. Firstly, I turn to the recent empirical scholarship on social movements to show the inadequacy of the contentious political model in explaining movement agency and the need for collective identity. Next, drawing on the interdisciplinary scholarship on narrative agency, I claim that narration is key to constructing collective identity, and that a specific genre of narratives, namely melodrama, is particularly effective in transforming the experience of oppression into motivationally powerful collective identities. Finally, I argue that the narrative conventions of melodramas that effectively galvanize agency are often the same ones that mischaracterize the causes of injustice, misplace blame, misinform goals, and reinforce ideologies. I illustrate this point with reference to the white supremacy movement in the United States. The upshot of my analysis is not to discredit social movements as “inapt” agents of change, but rather to show that there are dangers and complexities lurking within the hero narratives of recent philosophical work on 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.

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)0.000
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.223
GPT teacher head0.433
Teacher spread0.210 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes2
Has abstractyes

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