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Rhetorical Institutionalism: Language, Agency, and Structure in Institutional Theory since Alvesson 1993

2011· article· en· W1579647649 on OpenAlex
Sandy Edward Green, Yuan Li

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

VenueJournal of Management Studies · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsRhetorical questionRhetoricEpistemologyInstitutionalismAgency (philosophy)SociologyRationalityPhilosophy of sciencePolitical scienceSocial scienceLinguisticsPhilosophyPoliticsLaw

Abstract

fetched live from OpenAlex

abstract In 1993, Mats Alvesson published ‘Organizations as Rhetoric’. In his paper, Alvesson proposed that knowledge was ambiguous and that rhetoric was therefore critical to the construction and operation of institutions and organizations. Moreover, he argued that in such an ambiguous and thus rhetorical world, knowledge operated as an institutionalized myth and rationality surrogate. Alvesson's insights helped inspire and initiate one of the most promising and growing areas of institutional research: rhetorical institutionalism. Rhetorical institutionalism is the deployment of linguistic approaches in general and rhetorical insights in particular to explain how institutions both constrain and enable agency. In this paper, we trace these original insights and discuss the benefits of continuing the integration of rhetorical ideas in institutional research. In addition, we propose and develop a rhetorical model of institutionalism that can spearhead research and conclude with some direct suggestions for future research.

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)0.000
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: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.261
Teacher spread0.227 · 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