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Record W4412377900 · doi:10.1111/joms.13265

Social‐Symbolic Work of Engaging Heterogeneous Communities: Participation Work and Entangled Effects on Organizations and Communities

2025· article· en· W4412377900 on OpenAlexaff
Trish Ruebottom, Suhaib Riaz, Israr Qureshi

Bibliographic record

VenueJournal of Management Studies · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of OttawaMcMaster University
FundersHong Kong Polytechnic University
KeywordsWork (physics)Public relationsSociologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Community participation is recognized as a crucial yet problematic element for addressing many issues in social development. Generating participation, however, is particularly challenging due to existing inequalities within heterogeneous communities, making it difficult for organizations to engage marginalized groups while letting go of their own control. We explore how organizations facilitate community participation through a qualitative comparative case study of two community radio stations in India. We find two approaches based on how organizations leverage three levels of influence: (1) open participation work leverages community members as audience and volunteers/staff by drawing on commonality between them. Furthermore, it defers decision making to community hierarchy; (2) protective participation work engages audience and volunteers/staff from marginalized groups, focusing on their differences from other community members, and defies community hierarchy in decision making. These two approaches led to contrasting outcomes: open participation work led to a pliable organization that invited the community in, but preserved community inequalities, and protective participation work led to a directive organization that restricted participation, but disrupted community inequalities. In unpacking these approaches, we extend the social‐symbolic work literature by theorizing how participation work creates entangled effects on the organization and community.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.026
GPT teacher head0.276
Teacher spread0.250 · 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 designObservational
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

Citations2
Published2025
Admission routes1
Has abstractyes

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