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Record W2922511786 · doi:10.1177/1350508419831901

Worlds, words, and spaces of resistance: Democracy and social media in consumer co-ops

2019· article· en· W2922511786 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

VenueOrganization · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSociologyHegemonyContext (archaeology)DemocracyDeconstruction (building)Resistance (ecology)Corporate governanceLawPolitical sciencePoliticsEconomics

Abstract

fetched live from OpenAlex

This article explores how members of one of the largest Canadian consumer co-ops, reacting to what they saw as an assault on its democratic principles, use social media to try resisting the attempt from the board of directors to change its governance rules. Building on the Economies of Worth and Critical discourse analysis joint framework that considers power relations in the justification context, we unveil two essential moments. Initially, our analysis points to hegemonic justification struggles marked by the board and resisting consumer-members drawing on and reordering multiple worlds to debate the risk of democratic degeneration in consumer co-ops. Second, the critical insights suggest that the hegemonic control over the official deliberative arena pushed dissenting actors toward social media, an alternative space where they could deconstruct the co-ops-controlled discursive arena and create new conditions of possibility. Our article contributes to the literature on democratic degeneration in alternative organizations. More specifically, in the case of large consumer co-ops in which consumer-members have limited embodied presence, our results highlight how social media can offer a new space for debates, dissensus, and critical deconstruction. Our research also extends the post-structural criticism of the domination tendency of rational debate frameworks by showing that strategic displacement to new alternative spaces is essential to create new possibilities beyond those in central discursive arenas.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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