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Record W4386544918 · doi:10.1177/00207152231196509

Democracy as a trust-building learning process: Organizational dilemmas in social movements

2023· article· en· W4386544918 on OpenAlexvenueno aff
Federico M. Rossi

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónMinisterio de Ciencia e Innovación
KeywordsConceptualizationDilemmaDemocracyOrganizational learningOrganizational fieldSociologyOrganizational studiesOrganization developmentPluralism (philosophy)Social psychologySocial movementPoliticsPublic relationsPolitical sciencePsychologyEpistemologyKnowledge managementSocial scienceInstitutional theoryComputer science

Abstract

fetched live from OpenAlex

Combining agonistic pluralism and social movements literature with trust studies, I propose a conceptualization for how the organizational dilemma is tackled in social movements. Defined as a trust-building organizational learning process, I show the role-played by social trust—meaning, the construction of the relational boundaries of a shared goal without diluting the heterogeneity of self-identities and interests—as an organizational prerequisite for democratic organization of a political group. Empirically, I identify four alternative pathways to the (democratic) organizational dilemma: innovation through new organizational models; repetition of past experiences; reformulation of practices; and emulation of previous organizational models.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.047
GPT teacher head0.410
Teacher spread0.363 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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