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Record W4313248617 · doi:10.1177/20515707221138419

Activist consumer movements: Founder framings versus member self-organisation

2022· article· en· W4313248617 on OpenAlexaff
Franck Barès, Bernard Covà

Bibliographic record

VenueRecherche et Applications en Marketing (English Edition) · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsFraming (construction)Movement (music)Social movementCreativityNew social movementsSociologyPolitical scienceMedia studiesPublic relationsAestheticsLawHistoryArtPolitics

Abstract

fetched live from OpenAlex

Consumers become activists whenever they organise themselves into off- or online movements launched to oppose corporate actions and/or foster consumption-based cultural change. Whereas, some readings of such movements focus on the way in which members self-organise their activities, the emphasis here is on the role that a movement’s founders play in framing its activities. Findings from the study of a movement founded by a Cameroonian music enthusiast show that online activities can be affected both by how a movement has been framed by its founder and by the way in which its members self-organise. A founder orchestrates a movement’s coherence, and also the expression of its members, along three lines: by attributing meaning, distributing roles and tasks and promoting creativity.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.060
GPT teacher head0.305
Teacher spread0.245 · 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.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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