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Record W2587146155 · doi:10.1111/ijmr.12136

Pluralism in Organizations: Learning from Unconventional Forms of Organizations

2017· article· en· W2587146155 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.

Bibliographic record

VenueInternational Journal of Management Reviews · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsHEC MontréalUniversité Laval
Fundersnot available
KeywordsPluralism (philosophy)Organization studiesOrganizational theoryBureaucracySociologyOrganizational studiesEpistemologyPolitical scienceOrganization developmentPublic relationsManagementLawEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract The bureaucratic organization is still regarded as the conventional organizational form, but is ill‐suited to an increasingly pluralistic world. Research on the variety of organizational forms has increased dramatically over the past three decades and offers the potential to understand better how pluralism is manifested and managed within organizations. However, this research remains fragmented. The purpose of this paper is to review and synthesize research on unconventional organizations to explore how organizations resolve or attenuate the tensions related to pluralism. Drawing from research in leading management journals, it covers seven distinct literatures: ‘referent organization’, ‘temporary organization’, ‘pluralistic organization’, ‘meta‐organization’, ‘bridging organization’, ‘hybrid organization’ and ‘field‐configuring event’. For each literature, the authors trace the genealogy of the key concepts and review their distinct insights regarding organizational pluralism. They then synthesize and discuss their collective contributions and conclude with avenues of research for pluralism in organizations.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.275
Teacher spread0.252 · 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