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Record W2601424733 · doi:10.5465/amr.2011.59330898

NEW KNOWLEDGE PRODUCTS AS BRICOLAGE: METAPHORS AND SCRIPTS IN ORGANIZATIONAL THEORY.

2011· article· en· W2601424733 on OpenAlexaff
Eva Boxenbaum, Linda Rouleau

Bibliographic record

VenueAcademy of Management Review · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsBricolageScripting languageSociologyOrganizational theoryOrganizational behaviorBusiness ethicsEpistemologyMicrofoundationsKnowledge managementManagementBusinessComputer sciencePhilosophyEconomicsArt

Abstract

fetched live from OpenAlex

We argue that three epistemic scripts of knowledge production--evolution, differentiation, and bricolage--underpin the production--that is, the conception and the presentation--of new organizational theories. Bricolage of concepts, empirical material, and metaphors enables the conception of new theories, whereas evolution and differentiation, carrying higher academic legitimacy, predominate in theory presentation. We develop an integrative model and provide an illustration from organizational institutionalism to delineate how metaphors and scripts influence organizational theory production

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)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0020.037
Scholarly communication0.0110.021
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.274
Teacher spread0.224 · 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 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

Citations99
Published2011
Admission routes1
Has abstractyes

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