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Record W2060651757 · doi:10.1177/1350508414539784

Worker cooperatives as an organizational alternative: Challenges, achievements and promise in business governance and ownership

2014· article· en· W2060651757 on OpenAlexaff
George Cheney, Iñaki Santa Cruz, Ana María Peredo, Elías Nazareno

Bibliographic record

VenueOrganization · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCorporate governanceExtant taxonBusinessDemocracyFace (sociological concept)Public relationsSociologyPolitical scienceFinancePolitics

Abstract

fetched live from OpenAlex

This special issue of Organization treats cooperatives as alternative forms of business and organization, focusing on worker-owned-and-governed forms. In reviewing extant research and considering the seven articles in this special issue, we treat five main challenges that workers’ cooperatives face: (1) the organizational resources, structures, and dynamics allowing for social as well as economic resilience for worker cooperatives; (2) the complex types and roles of leadership in worker cooperatives and related organizational forms; (3) the capacity of and obstacles to the reinvention of democracy within cooperatives; (4) the relationships between cooperatives and organized labor, the state, the community, and the larger financial system; and (5) the pursuit of cooperative values and policies within international market and environmental contexts. The examination of these challenges in relation to the worker cooperatives specifically can inform new projects in employee ownership and governance as well as perhaps assist with democratic organizational transformations in other firms and sectors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.009
Scholarly communication0.0110.011
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations299
Published2014
Admission routes1
Has abstractyes

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