MétaCan
Menu
Back to cohort
Record W2332944222 · doi:10.1177/0018726715612899

Imagining organization through metaphor and metonymy: Unpacking the process-entity paradox

2016· article· en· W2332944222 on OpenAlex
Dennis Schoeneborn, Consuelo Vásquez, Joep Cornelissen

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

VenueHuman Relations · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité du Québec à Montréal
FundersCopenhagen Business School
KeywordsMetaphorMetonymyEpistemologyDialecticSociologyUnpackingProcess (computing)Dimension (graph theory)Organizational theoryLinguisticsPsychologyComputer sciencePhilosophyManagement

Abstract

fetched live from OpenAlex

Within organization studies, Morgan’s seminal book Images of Organization has laid the groundwork for an entire research tradition of studying organizational phenomena through metaphorical lenses. Within Morgan’s list of images, that of ‘organization as flux and transformation’ stands out in two important regards. First, it has a strong metonymic dimension, as it implies that organizations consist of and are constituted by processes. Second, the image invites scholars to comprehend organizations as a paradoxical relation between organization (an entity) and process (a non-entity). In this article, we build on Morgan’s work and argue that flux-based images of organization vary in their ability to deal with the process-entity paradox, depending on the degree to which its metaphorical and metonymic dimensions are intertwined. We also examine three offsprings of the flux image: Organization as Becoming, Organization as Practice, and Organization as Communication. We compare these images regarding their metaphor–metonymy dynamics, the directionality of their process of imagination, and their degree of concreteness. We contribute to Morgan’s work, and to organization studies more generally, by offering an analytical grid for unpacking different processes of imagining organization. Moreover, our grid helps explain why images of organization vary in their ability to comprehend organizations in dialectical and paradoxical ways.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.020
GPT teacher head0.246
Teacher spread0.225 · 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