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Real Utopias for Organizational Governance: Exploring Alternatives to the Corporation

2025· article· en· W4416002461 on OpenAlexaff
Jonas Spengler, Meredith Lehman, Ali Aslan Gümüşay, Jonas Friedrich, Ana María Peredo, Costanza Sartoris, Michael Yanche Lee, Christopher Marquis, Juliane Reinecke, Gerald F. Davis, Mette Morsing, Martin Parker

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConversationMainstreamCorporationTransformative learningEmpirical researchOrder (exchange)IndigenousWork (physics)

Abstract

fetched live from OpenAlex

As management scholars grapple with grand societal challenges, there is a growing interest in imagining and exploring alternative forms of organizing. This symposium aims to advance the conversation on “real utopias” - radical yet plausible alternatives to the dominant social order that exist at the margins of society. Unlike previous approaches that either speculatively imagine alternatives or use marginal cases to inform mainstream organizations, we propose connecting the marginal cases and facilitating a conversation across empirical contexts whose practical and transformative implications have too often been constricted within theoretical silos. Inspired by Erik Olin Wright’s Real Utopias Project, this symposium brings together researchers studying radical alternatives to the shareholder-owned, profit-driven corporation. Our panel of scholars represents a range of divisions, and their work spans diverse empirical contexts including amongst others DAOs, cooperatives, social movements, indigenous groups, and religious communities. We propose that each of these disparate contexts constitute a piece of a larger puzzle - namely, what elements of imagined “desirable futures” are in fact viable, sustainable, and attainable for organizations here and now? This symposium will showcase different “real utopias” for governing organizations, followed by a facilitated comparative discussion. Our aim is to identify patterns across these cases, stimulate critical thinking about organizational forms, and potentially inspire new directions in management research and practice that take the margins seriously.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score0.558

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 communication0.0000.001
Open science0.0010.001
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 head0.037
GPT teacher head0.259
Teacher spread0.222 · 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 routes1
Has abstractyes

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